Digital Radio and Its Application in the HF (2-30 MHz) Band
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Short Description
communications there is a strong desire to increase HF data rates. Currently data rates application on the wideband HF&n...
Description
Digital Radio and Its Application
in the HF (2-30 MHz) Band
Nigel Clement Davies B. Eng(Hons) CEng WEE
Submitted in accordance with the Requirementsfor the Degree of Doctor of Philosophy
The University of Leeds School of Electronic and Electrical Engineering May 2004
The candidate confirms that the work submitted is his own and that appropriate credit has been given where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that from be the thesis no quotation may published without proper acknowledgement
For Jo, my wonderful wife
, ýý,,..r
: r:.
..
Acknowledgements The research presented in this thesis was carried out for my employer, QinetiQ Ltd (formally DERA), and principally sponsored by the UK Ministry of Defence under its Corporate Research programme.
The research was undertaken as part of a working
collaboration with scientists and engineers at the Communications Research Centre (CRC) in Ottawa, Ontario, Canada under a UK-Canadian government agreement on collaboration in defence science and technology.
Joe Schlesak, CRC's Terrestrial
Wireless Systems group leader, and Dr Trisha Willink strongly supported the work and Canadian involvement in it. The research effort has included important contributions from a number of individuals. CRC researchers Dr Mark Jorgenson, Dr Bob Johnson and Bill
Moreland were
responsible for the realisation of the high throughput 16 kbps modem from my initial concept. CRC's Michael Bova made significant contributions to the HF software radio programmable logic design and the software architecture that we conceived, refined and implemented together. A number of Canadian under-graduate `co-op' work placement students also helped with hardware and software development tasks under my supervision and direction; specifically Chris Taylor, Chris Squires, Mike Osmond and Jason Chau. The complex multi-layer printed circuit boards for the transceiver were laid-out by Minh Huynh of CRC under my direction.
The RF shielding enclosures
utilised in the transceiver were designed by Andre Giroux and built by CRC workshops. Thanks are due to my colleagues Prof Paul Cannon, Dr Mathew Angling and Mel Maundrell who have always been sources of inspiration and good advice. A heartfelt thank-you goes to Prof Mike Darnell, for being my supervisor and keeping faith in me over so many years. Thanks also to George Vongas who started me down this path. Finally, I owe a true debt of gratitude to my parents for (as it has been said) doing so much for me, and to my wife, Jo, for great patience and understanding through the many months it has taken to prepare this thesis.
NC Davies, May 2004
Abstract
Digital Radio and Its Application
in the HF (2-30 MHz) Band
Nigel Davies
The propagation environment at high frequencies (HF, 2-30 MHz) has a significant impact on the performance of radio systems (especially data communications). However, the ability
to communicate information
over very long ranges using
ionospheric propagation paths without any intermediate infrastructure makes the use of HF attractive for many applications.
In order to increase the utility
of HF
is there communications a strong desire to increase HF data rates. Currently data rates of up to -2400 bps can be reliably achieved in standard 3 kHz HF channel allocations. Whilst further increases in data rate within the confines of these narrowband frequency allocations is likely, the use of larger bandwidths (contiguous or otherwise) appears to offer potential for much greater throughputs. This requires a greater understanding of the characteristics of wideband channels and also requires transmitting and receiving equipment capable of wideband/multi-channel operation.
New waveforms have been proposed for the transmission of higher data rates in extended channel bandwidths (6 kHz).
The results of laboratory measurements and
analysis of data collected during on-air trials of a number of 16 kbps waveforms are presented. Analysis indicates that operation over surface wave and benign skywave channels is possible, demonstrating
the benefit
of
exploiting
greater channel
bandwidths.
Suitable architectures for the implementation of wideband and multi-channel digital HF radios (software radios) have been investigated. The work presented indicates that it is for the first time, to construct high performance, direct sampling now possible, digital HF wideband receivers. In such a receiver the entire HF band is digitised and then all subsequent processing is undertaken digitally.
Conceptually this would allow
an arbitrary number of channels to be simultaneously received using a single RF frontdigitiser. end and
With careful design performance comparable with that of the high iv
V
performance conventional super-heterodyne single channel receivers can be obtained. A prototype wideband multi-channel digital HF transceiver with this architecture has been implemented and its performance shown to agree with that predicted.
A particular challenge in complex systems such as software radios is the deployment of software across a number of heterogeneous processors. A new asynchronous, eventbased, processing architecture which employs messaging to allow processing tasks to be effectively distributed across a multiple processors and buses is proposed. It has been implemented on the digital
transceiver platform
and its effectiveness has been
demonstrated.
A new low-power pulse-compression oblique HF ionospheric sounder, known as WHISPER, has been developed. This sounder has been implemented as a software application on the wideband HF digital transceiver.
Waveforms suitable for making
kHz) (-80 measurements of the channel time varying complex impulse wideband response have been designed.
These have been used to make measurements on a
170 km path in the UK during Spring 2001. The results of these measurements have been analysed and confirm the ability of the sounding instrument to measure the channel scattering function and the amplitude and phase within individual modes. A design directions for further to the analysis, pertinent of wideband number of possible HF modems, have been proposed.
V
vi
Contents
Acknowledgements
Abstract
................
'
iv ...........................................................................................................................
Contents
........................................................................................
List of Figures ix ................................................................................................................. List of Abbreviations
Chapter 1. 1.1 1.2 Chapter
2.
2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 Chapter 3. 3.1 3.2 3.3 3.4 3.5 Chapter 4. 4.1 4.2 4.3 4.4 4.5
xv ....................................................................................................
Introduction
1
The HF Propagation Environment and Its Impact on Communications ......................................................................................
7
............................................................................................. Structure of Thesis 2 .................................................................................... Original Work 4 ...........................................................................................
Surface Wave Propagation 7 ........................................................................ Sky Wave Propagation 7 .............................................................................. 16 NVIS Propagation ................................................................................... 16 Impact of Propagation on Radio Waves .................................................. 23 Propagation Diversity .............................................................................. 24 Propagation at Different Latitudes .......................................................... 25 Propagation of Wideband Signals ........................................................... 27 Noise and Interference ............................................................................ 30 HF Channel Models and their Application ............................................. 35 HF Propagation - Summary of Principal Characteristics ....................... HF Data Communications
37
.................................................................... Waveforms for Data Communication Over Fading, Multipath 37 Channels .................................................................................................. 38 Modulation Schemes for Data Communications .................................... Communications HF Data Serial Tone MIL-STD-188-IIOA -a 54 Waveform ................................................................................................ 56 High Data Rate HF Communications ..................................................... 58 Summary ................................................................................................. 59 A High Data Rate Modem for Extended Bandwidth Channels ........ 60 Waveform and Modem Processing Description ..................................... 62 16 kbps Modem Performance ................................................................. 69 On-air Trials ............................................................................................ 72 Potential Improvements to the Experimental 16 kbps Modem ............... 73 Comparison of Extended Bandwidth Modem Performance ................... VI
4.6 4.7 4.8 Chapter 5. 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 5.10 5.11 5.12 Chapter 6. 6.1 6.2 6.3 6.4 6.5 Chapter 7. 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9 7.10 7.11 7.12 7.13 7.14 7.15 7.16 Chapter 8. 8.1
Application of Extended Bandwidth HDR Modems 75 .............................. Standardisation of Extended Bandwidth HDR HF Modems 76 .................. Chapter Summary 77 .................................................................................... On the Specification and Design of Digital HF Radios 78 ...................... Applicable Technology Developments 79 ................................................... Wideband Digital Radio Architectures 80 ................................................... HF Receiver Performance Requirements 87 ................................................ HF Transmitter Performance Requirements 96 ........................................... A Direct Sampling Digital HF Receiver 97 ................................................. Front End Filter 97 ....................................................................................... Digitally Controlled RF Amplifier 99 .......................................................... Analogue-to-Digital Converter (ADC) Performance 99 .............................. Digital Down-Converter (DDC) 110 ........................................................... 115 A High Performance Direct Sampling Digital HF Receiver ................. Single Conversion Wideband Receiver An Alternative 117 Architecture ........................................................................................... 119 Chapter Summary .................................................................................. Performance of a Prototype Direct Sampling Digital HF 120 Receiver ................................................................................................ 120 Description of Prototype Receiver ........................................................ 134 Predicted Performance of Prototype Digital HF Receiver .................... 136 Prototype Receiver Performance Measurements .................................. 143 Improving the Performance of the Prototype Receiver ......................... 145 Chapter Summary .................................................................................. A Wideband, Multi-Channel,
HF Software Radio
...........................
146
148 Wideband Digital Transceiver Architecture ......................................... 150 Digital Transceiver PCI Bus Interface .................................................. 150 Digital Transceiver Bus Arbitration CPLD ........................................... 151 Digital Signal Processing (DSP) Sub-System ....................................... 154 Dual SHARC DSP Processor Module .................................................. Digital Transceiver Configuration and Software Download ................ 156 158 Transceiver Digital Interfaces ............................................................... 160 Frequency Standard Sub-System .......................................................... 166 Digital Receiver Sub-System ................................................................ 171 Transmitter Exciter Sub-System ........................................................... 175 Power Supplies for Analogue Sub-Systems .......................................... 175 Front End Protection and Filtering Module .......................................... 176 Construction Techniques ....................................................................... 178 Digital Transceiver Control Software Architecture .............................. 179 Built-in Self Test and Diagnostics ........................................................ 181 Chapter Summary .................................................................................. A High Performance Event Driven Processing Architecture Asynchronous, Event Based, Processing Architecture
.........
.........................
182 183
vii
'iii 8.2 8.3 8.4 8.5 8.6 8.7 8.8
Digital Transceiver Platform 184 ................................................................. Intelligent Input/Output (120) Messaging 186 ............................................. Asynchronous Messaging - Software Implementation 190 ......................... Implementation Issues 197 ........................................................................... Practical Demonstration of Event Based Processing Architecture 198 ....... Possible Extensions to the Event Based Processing Architecture 199 ........ Chapter Summary 200 ..................................................................................
Chapter 9. 9.1 9.2
of Digital Radio to HF Channel Characterisation
......
201
Introduction to Ionospheric Channel Sounding 201 .................................... Measuring the Time Varying Complex Channel Impulse Response (C IR) 205 ..................................................................................................... Implementation of WHISPER -A Wideband HF Channel Sounder 207 ... Pulse Compression Sounding Waveform Design 210 ................................. Receive Digital Signal Processing 218 ........................................................
9.3 9.4 9.5 9.6
Laboratory Measurements to Verify Sounder Performance
9.7 9.8
.................
219
Suggestions for Improvements to the WHISPER Sounder 222 ................... Chapter Summary 223 ..................................................................................
Chapter 10. 10.1 10.2 10.3 10.4 Chapter
Application
11.
11.1 11.2 11.3 11.4 11.5 11.6
Measurement of the Wideband HF Channel using WHISPER...... 224 Experiment Deployment 224 ....................................................................... Results 225 ................................................................................................... Suggested Routes for Further Data Analysis 237 ........................................ Chapter Summary 237 .................................................................................. Applications
of Digital
Radio in the HF Band
..................................
239
Digital Broadcast Receivers 239 .................................................................. Chirp Sounder 240 ....................................................................................... RF Channel Simulator 240 ........................................................................... 241 High Performance ALE Systems .......................................................... 242 Applications in Other Frequency Bands ............................................... 242 Applications to Weather Radar .............................................................
244 Conclusions and Recommendations for Further Work .................. 245 12.1 Recommendations for Further Investigation ......................................... 250 References .................................................................................................................... Chapter 12.
viii
List of Figures Chapter 2 Figure Figure Figure Figure Figure
2-1 2-2 2-3 2-4 2-5
Figure 2-6
Figure 2-7 Figure 2-8 Figure 2-9 Figure 2-10 Figure 2-11 Figure 2-12
The Earth's Ionosphere and its Principal Regions [Maslin, 5] 8 ................. Typical Electron Concentration within the Ionosphere [Davies. 3].......... 9 Daily Smoothed Sunspot Numbers Illustrating I1 Year Solar Cycle 11 ..... Terrestrial Effects of a Solar Disturbance [5,3] 12 ..................................... Ray Paths as a Function of Elevation at a Single Frequency [Maslin, 5] ............................................................................................... Sky Predicted Propagation Loss and MUF for Frankfurt-to-London wave Circuit ............................................................................................
14 15
Position of Day-Night Terminator at 1200Z in December 16 ..................... Summary of the Causes of Multipath and Dispersion [after Maslin, 19 5] ............................................................................................................. Typical Oblique HF lonogram (Malvern to Farnborough 17:31 2020 03-200) .................................................................................................... Effective Noise Figure of a Loss-less Isotropic Antenna Due to 28 External Noise in the HF Band [ITU, 29] ............................................... 29 Predicted Congestion from Gott-Laycock Occupancy Model ................ 32 Block diagram of Watterson model ........................................................
Chapter 3 Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure
3-1 3-2 3-3 3-4 3-5 3-6 3-7 3-8 3-9 3-10
Figure Figure Figure Figure Figure Figure
3-11 3-12 3-13 3-14 3-15 3-16
Figure 3-17
38 Components of a Generic Data Communications System ...................... 40 On-Off Keying (OOK) ............................................................................ 41 Non-coherent Matched Filter Structure .................................................. 42 Frequency Shift Keying (FSK) ............................................................... 43 M=8, M-ary Multi-Frequency Shift Keying (MFSK) ............................. 44 Binary Phase Shift Keying (BPSK) ........................................................ 45 8-PSK Constellation ................................................................................ 45 QPSK/MPSK/QAM Modulator .............................................................. 46 16-QAM Constellation ............................................................................ BER Performance of Various Modulation Schemes in an AWGN 48 Channel ................................................................................................... 49 Linear Transverse Equaliser .................................................................... 50 Decision Feedback Equaliser (DFE) ....................................................... Performance of Various Forward Error Correction Codes ..................... 53 54 Operation of an (mxn) Block Interleaver ................................................ 55 Structure of MIL-STD-188-11 OA waveform .......................................... Measured Performance of 1200 bps MIL-STD-188-11OA Modem 56 (BER=10-3) .............................................................................................. Current Progress in Development of HF Data Communications (to 57 2001) .......................................................................................................
Chapter 4 Figure 4-1
16 kbps Modem Waveform Structure
.....................................................
61
ix
Figure Figure Figure Figure
4-2 4-3 4-4 4-5
Figure 4-6 Figure 4-7 Figure 4-8 Figure 4-9 Figure 4-10 Figure 4-11 Figure 4-12 Figure 4-13 Figure 4-14
Figure 4-15 Figure 4-16
16 QAM Constellation Employed in the 16 kbps Modem 62 ...................... 16 kbps Modem Laboratory Characterisation 63 ......................................... 16 kbps ISB Modem Performance in a Gaussian Noise Channel........... 64 16 kbps ISB Modem Performance in a Flat Fading Gaussian Noise Channel 64 ................................................................................................... 16 kbps ISB Modem Performance in CCIR Good Channel 65 ................... 16 kbps ISB Modem Performance in CCIR Poor Channel 65 ..................... Constant BER Surface for 16 kbps ISB Modem (HC codec, long interleave) 66 ................................................................................................ Constant BER Surface for 16 kbps SSB Modem (HC codec, long interleave) 66 ................................................................................................ Constant BER Surface for 4800 bps MIL-STD-188-110A Modem 67 (un-coded) ............................................................................................... Constant BER Surface for 2400 bps STANAG 4285 Modem 67 (convolutional coder, long interleave) .................................................... Constant BER Surface for 16 kbps ISB Modem using HC Codec 69 Channel Conditions Rician Interleave Long under and .......................... 70 Configuration for `On-Air' 16 kbps Modem Experiment ....................... Hourly Average BER between Cobbett Hill and Malvern using 16 kbps ISB Modem with HC Codec (histogram shows number of 71 data points in the data set) ....................................................................... Diurnal Kilobyte Frame Delivery Statistics between Cobbett Hill 72 Codec HC kbps Modem 16 ISB Malvern with using and ....................... Performance of Extended Bandwidth HDR Waveforms in AWGN Channel
Figure 4-17
...................................................................................................
74
Performance of Extended Bandwidth HDR Waveforms in a Rician Fading Channel (one non-fading and one -6 dB Gaussian fading 75 mode) .......................................................................................................
Chapter 5 Figure Figure Figure Figure
5-1 5-2 5-3 5-4
Figure Figure Figure Figure Figure Figure Figure
5-5 5-6 5-7 5-8 5-9 5-10 5-11
Figure 5-12 Figure 5-13 Figure 5-14 Figure 5-15
From Conventional Analogue Receiver to Software Radio .................... 78 A Super-Heterodyne Receiver Architecture .......................................... . 81 Direct Conversion `Zero IF' Receiver Architecture ............................... 82 Image Suppression in a Quadrature Mixer Due to Amplitude and 83 Phase Imbalance ..................................................................................... . 84 Super-heterodyne with Zero-IF Stage..................................................... 85 Receiver IF-Sampling Conversion Single .............................................. . 86 Receiver Digital HF Wideband Diagram Block of a .............................. Block Diagram of a Wideband Digital Transmitter ................................ 87 90 Distance Separation Path Loss versus .................................................... . 91 Snapshot of Measured Signal Power in HF Band [GEC, 99] ................. Typical Narrowband Superhet HF Receiver Composite Filter 92 100] [after Pearce, Characteristics ......................................................... . 93 Reciprocal Mixing in a Receiver with Frequency Translation ............... 2ndand 3`dOrder Intermodulation Product Levels versus Two Tone 95 Input Power . ............................................................................................ 97 Wideband Direct Sampling Digital Receiver ......................................... . 98 Front End Anti-Aliasing Filter Performance Requirement .....................
x
xi
Figure 5-16 Figure 5-17 Figure 5-18 Figure 5-19 Figure 5-20 Figure 5-21 Figure 5-22 Figure 5-23 Figure Figure Figure Figure
5-24 5-25 5-26 5-27
Figure 5-28 Figure 5-29
Error in Sampling Amplitude Due to ADC Aperture Uncertainty (Jitter) 102 .................................................................................................... Predicted AD6644 SNR versus Clock Jitter for Various Analogue Input Frequencies 103 .................................................................................. Typical High Quality Local Oscillator SSB Phase Noise Specification 105 .......................................................................................... ADC Quantisation Errors Due to DNLs [after Brannon, 111] 106 .............. Architecture of High Performance AD6644 14-bit Multi-Stage ADC [Analog, 107] 106 ............................................................................... Application of Wideband Dither to Improve ADC SFDR 107 .................... Improvement in AD6644 Spurious Performance with Addition of a Dither Signal [Analog, 107] 108 .................................................................. Predicted Mean Available Dither Power Due to HF Congestion (Lower Bound) 109 ...................................................................................... Digital Down-Converter 110 ........................................................................ NCO as a Complex (Quadrature) Direct Digital Synthesiser 112 ............... 113 Practical Decimating CIC Filter - Integrator, Decimator and Comb .... Frequency Response of CIC showing Impact of Aliasing (M=100, 113 L=4, R=1) .............................................................................................. Modelled Frequency Response of CIC Filters as a function of L and R ..................................................................................................... 114 114 Dynamic Range in the Direct Sampling Digital HF Receiver ..............
Chapter 6 Figure 6-1 Figure 6-2 Figure Figure Figure Figure Figure
6-3 6-4 6-5 6-6 6-7
Figure 6-8 Figure 6-9 Figure Figure Figure Figure
6-10 6-11 6-12 6-13
Figure 6-14
121 Block Diagram of Prototype Direct Sampling Digital HF Receiver .... Measured Selectivity of Combined 28 MHz Elliptic Low Pass 123 Filter ...................................................................................................... 123 Front-End Filter Group Delay Variation ............................................... 124 Prototype Front-End Filter Impedance Matching ................................. 125 SNA586 GaAs RF Amplifier Test Circuit ............................................ 125 MMIC RF Amplifier Test Pieces .......................................................... SNA-586 GaAs RF Amplifier Characteristics Measured on 126 Network Analyser ................................................................................. 127 SNA-586 GaAs RF Amplifier Gain and Linearity Measurements ....... SNA-586 RF Amplifier 2°d and 3rd Harmonic Performance 128 (Extrapolated) ........................................................................................ Selectivity of 5thOrder Harmonic Filter (Modelled with SPICE) ........ 129 Programmable Digital Down-Converter [after Graychip, 124] ............ 131 GC4014 DDC NCO Implementation [Graychip, 124] ......................... 131 Controlled Oscillator (NCO) Spurs GC4014 Numerically 132 [Graychip, 124] ..................................................................................... Frequency Response of GC4014 CFIR Filter (3 kHz Nyquist
bandwidth) Figure 6-15 Figure 6-16 Figure 6-17 Figure 6-18
133 ............................................................................................ GC4014 DDC (3 kHz Nyquist
Modelled Performance of 133 bandwidth) ............................................................................................ Effect of Adding Dither to ADC Input Signal (Input tones are 137 20 dBFS) ............................................................................................... 137 Measured Digital Receiver Sensitivity: -158 dBm/Hz ......................... Measured Digital Receiver IMD using 2 tones at -20 dBm .................. 138
xi
xii
Figure 6-19 Figure 6-20 Figure 6-21 Figure 6-22 Figure 6-23
Measured Receiver Instantaneous Dynamic Range with dBm -15 input 139 ...................................................................................................... 62.208 MHz Sampling Clock PhaseNoise (Free Running) 140 ................. 62.208 MHz Sampling Clock Performance (VCXO locked to TCXO) 141 .................................................................................................. 62.208 MHz Sampling Clock Phase Noise (VCXO/TCXO/Ext. Standard) 141 ............................................................................................... Receiver Under-sampling Performance: -15 dBm input at 200
Chapter 7 Figure 7-1 Figure Figure Figure Figure Figure Figure Figure
7-2 7-3 7-4 7-5 7-6 7-7 7-8
Figure Figure Figure Figure Figure Figure
7-9 7-10 7-1 1 7-12 7-13 7-14
Figure 7-15 Figure 7-16 Figure 7-17 Figure 7-18 Figure Figure Figure Figure
7-19 7-20 7-21 7-22
Figure 7-23 Figure 7-24
Prototype (Serial No. 001) Digital Transceiver with Dual SHARC 147 DSP ....................................................................................................... 149 Architecture of Wideband Digital Transceiver ..................................... 153 SHARC ADSP-2106x Architecture (from [Analog, 135]) ................... 155 Dual SHARC Processor Module with 2Mx48 Shared Memory ........... 155 Dual SHARC Processing Module Interconnections ............................. 157 Digital Transceiver Configuration Architecture (Simplified) ............... Photograph of Digital Transceiver RF Sub-Systems and Interfaces..... 159 Block Diagram of Digital Transceiver Frequency Standard Sub160 System ................................................................................................... 161 Frequency Standard User Interface ....................................................... 162 Excerpt of Frequency Standard Sub-System Schematic ....................... CPLD Design for Frequency Standard Showing Control Register....... 163 CPLD Implementation of Phase-Frequency Detector (PFD) ................ 164 165 Phase-Frequency Detector (PFD) State Machine ................................. One Channel of Digital Receiver RF Font-End (Excerpt from 167 Schematic) ............................................................................................. 168 Dither Generator (Schematic Excerpt) .................................................. Block Diagram of 4-Channel Digital Receiver ASIC [Graychip, 169 124] ....................................................................................................... 170 Digital Receiver Graphical User Interface ............................................ Block Diagram of 4-Channel Digital Transmitter ASIC [Graychip, 172 146] ....................................................................................................... Digital Transmitter DAC and RF Chain (Excerpt from Schematic)..... 173 174 Interface User Graphical Transmitter Digital ....................................... Triple PCI Front End Protection and Filtering Module ........................ 176 Digital Transceiver PCB 'Stack-up' (0.062"±0.008 Finished 177 Thickness) ............................................................................................. 179 Class Diagram for Digital Transceiver (CDigitalTransceiver) ............. 180 Platform Transceiver for Digital Diagnostics ......................................
Chapter 8 Figure Figure Figure Figure Figure
8-1 8-2 8-3 8-4 8-5
187 PLX9054 Messaging 120 Implementation of using .............................. 189 ]) 13 1 [PLX, (from Queues Organisation of 120 Messaging ................ 190 Structure of Message Header ................................................................ 190 Structure of Message ID Field .............................................................. 195 UML Diagram of Asynchronous 1,0 Messaging Implementation ....... xii
VIII
Figure 8-6
Five Simultaneous ProcessesRunning on Digital Transceiver
.............
199
Chapter 9 Figure 9-1 Figure 9-2 Figure Figure Figure Figure Figure Figure Figure
9-3 9-4 9-5 9-6 9-7 9-8 9-9
Figure 9-10 Figure 9-11
Alternative Sounding Geometries 202 ......................................................... Vertical lonogram Produced by a Digisonde Pulse Compression Sounder 201 ................................................................................................. Comparison between Pulse and Chirp Sounding [Barry, 165] 205 ............. Configuration of WHISPER Receive System 208 ....................................... UML Sequence Diagram Illustrating Sounder Receiver 210 ...................... Pulse Compression Waveform Performance Metrics 211 ........................... NT Chip PN-Sequence Periodic Autocorrelation Function 213 ................... Simulated Radio Filters (80 kHz Complex Baseband) 214 ......................... 64 kchip/s PN-1023 Pulse Compression Waveform in 80 kHz Channel 215 ................................................................................................. Band-limited 64 kchip/s PN1023 Waveform CIR versus Doppler Offset 216 ..................................................................................................... Band-limited 64 kchip/s PN1023 Waveform CIR versus Doppler Offset (close in)
Figure 9-12 Figure 9-13 Figure 9-14 Figure 9-15
Figure 9-16 Figure 9-17
217 Performance of as a Function of Frequency Offset .............................. 219 Use of Windows in Calculating the Scattering Function ...................... 220 WHISPER Occupied Bandwidth (Waveform: tx1023-64r) .................. WHISPER
Back-to-back
Test: Measured Ambiguity
Response
..........
220
WHISPER Back-to-Back Test: Complex Impulse Response 221 Resolution Back-to-Back Test: Doppler Resolution (512 CIRs, Hanning Window)
Figure 9-18
.....................................................................................
216
................................................................................................
221
Centre of Measured `tx1023-64r' Waveform Power Spectrum 222 (PRF=62.5 Hz) ......................................................................................
Chapter 10 Measured Channel Scattering Function (3.9 MHz, 10 Apr 2001 226 07: 38) .................................................................................................... 10-2 Measured Channel Scattering Function after Doppler Filtering 226 (3.9 MHz 10 Apr 2001 07: 38) ............................................................... 228 10-3 Oblique lonogram (10 Apr 2001 07: 38) ............................................... MHz (3.9 Function Scattering Channel View Magnified 10-4 of 228 10 Apr 2001 07: 38) ............................................................................... 10-5 Channel Power and Phase (Radians) plotted for 2.7 ms Mode 229 38) 07: 2001 10 April MHz, (3.9 Time Measurement versus ................ 10-6 Channel Power and Phase (Radians) plotted for -4.3 ms Mode 229 07: 38) 2001 10 April MHz, (3.9 Time versus Measurement ................ Mode for (Radians) Phase Channel ms Power 10-7 plotted -6 and 230 07: 38) 2001 10 April MHz, (3.9 versus Measurement Time ................ 231 31 UT) 20: 2001 10-8 lonogram (9 April ........................................................ 10-9 Measured Scattering Function (6.7 MHz, 9 April 2001 20:30) ............ 232 10-10 Measured Scattering Function after Doppler Filtering (6.7 MHz, 9 232 April 2001 20: 30) ..................................................................................
Figure 10-1 Figure Figure Figure Figure Figure Figure Figure Figure Figure
xiii
\I\
Figure 10-11 Power and Phase Plot of 3.7 ms Mode Showing Rapid Movement of Layer (6.7 MHz, 9 April 2001 20: 30) ............................................... 233 Figure 10-12 Oblique Ionogram (10 April 2001 08: 1OUT) 234 ........................................ Figure 10-13 Measured Scattering Function (5.7 MHz, 10th April 2001 235 Figure 10-14 Measured Scattering Function After Doppler Filtering (5.7 MHz, 10thApril 2001 08: l OUT) 235 ..................................................................... Figure 10-11 Power and Phase Plot of -3 ms Modes (5.7 MHz, 10thApril 2001 236 08: 1OUT) ............................................................................................... Figure 10-11 Power and Phase Plot of -5.4 ms Spread Mode (5.7 MHz. 10th 236 April 2001 08: 1OUT ..............................................................................
Chapter 11 Figure 11-1
Frequency Agile Simulator Architecture
..............................................
241
XIV
X\
List of Abbreviations ACF
Auto-correlation function
ADC
Analogue-to-digital converter
AGC
Automatic gain control
ALC
Automatic level control
ALU
Arithmetic logic unit
API
Application programming interface
ARP
Applied Research Programme
ARQ
Automatic repeat request
ASIC
Application specific integrated circuit
ATU
Antenna Tuning Unit
BDR
Blocking dynamic range
BER
Bit error rate
BIT
Built-in test
BLOS
Beyond line-of-sight
bps
Bits-per-second
BPSK
Binary PSK
CAST
Configurable
radio
with
advanced software
technology
(EU
research
programme) CCF
Cross-correlation function
CDAA
Circularly disposed antenna array
CFIR
Compensating FIR (filter)
CIC
Cascaded integrator-comb
CIR
Complex impulse response
CRC
Communications research centre (Ottawa, Canada)
CRP
Corporate research programme
CVSD
Continuously variable slope delta-modulation
CW
Continuous wave
xv
DAC
Digital-to-analogue converter
DAMSON
Doppler and multipath sounding network (HF sounder)
dBFS
Decibels below full-scale
DCE
Data communications equipment
DDC
Digital down-converter
DERA
Defence Evaluation and Research Agency (UK MOD)
DFT
Discrete Fourier transform
DLP
Data-link protocols
DNL
Dynamic non-linearities
DMA
Direct memory access
DOD
US Department of Defence
DPP
Delay power profile
DRM
Digital radio Mondiale
DSP
Digital signal processing (or processor)
DTE
Data terminal equipment
DUC
Digital up-converter
E2PROM
Electrically erasable programmable memory
EEPROM
Electrically erasable programmable memory
FEC
Forward error correction
FFT
Fast Fourier transform
FIR
Finite impulse response (filter)
FM
Frequency modulation
FMCW
Frequency modulated continuous wave
FPGA
Field programmable gate array
FSK
Frequency shift keying
GPS
Global positioning system (US DOD satellite navigation system)
GUI
Graphical user interface
HC
Hyper-code
XVI
HDR
High data rate
HF
High frequency
120
Intelligent Input/Output
IDR
Instantaneous dynamic range
IF
Intermediate frequency (radio systems)
IIR
Infinite impulse response
IMD
Intermodulation distortion
INL
Integral non-linearity
I/O
Input/output
IRQ
Interrupt request
ISB
Independent side-band
ITS
Institute of telecommunications sciences (US Federal agency)
ITU
International telecommunications union
JTAG
Joint test action group
JTRS
Joint tactical radio system (US military software radio programme)
kbps
Kilo-bits per second
LED
Light emitting diode
LO
Local oscillator
LPF
Low pass filter
MCI
Module control interface
MFA
Message frame address
MFLOPS
Million floating point operations per second
MFSK
Multi-tone FSK
MIMO
Multiple-input, multiple-output
MMIC
Miniature microwave integrated circuit
MSPS
Mega-samples per second
NATO
North Atlantic Treaty Organisation
NF
Noise figure
zvii
111
NVIS
Near vertical incidence sky-wave
OFDM
Orthogonal frequency division multiplex
OMG
Object Management Group
OS
Operating system
PA
Power amplifier
PC
Personal Computer
PCB
Printed circuit board
PCI
Peripheral component interconnect
PFD
Phase-frequency detector
PLL
Phase locked loop
PN
Pseudo noise (sequences)
PFD
Phase-frequency detector
PFIR
Programmable FIR (filter)
PPF
Deterministic phase function
PPM
Parts-per-million
PRF
Pulse repetition frequency
PRI
Pulse repetition interval
PSK
Phase shift keying
PU
Participating Unit
QAM
Quadrature amplitude modulation
RF
Radio frequency
RAM
Random access memory
RMS
Root mean squared
RRS
Recursive running sum
RTOS
Real-time operating system
SCA
Software communications architecture (for JTRS)
SDR
Software defined radio
SFDR
Spurious free dynamic range
xviii
xix
SGL
Scatter gather list
SHARC
Super Harvard architecture (DSP processor)
SIG
Special interest group
SINAD
Signal plus noise and distortion to noise and distortion ratio
SMF
Stochastic modulating function
SMT
Surface mount technology
SNR
Signal-to-noise ratio
SRAM
Static random access memory
SSB
Single side-band
SWF
Shortwave fadeout
TCXO
Temperature compensated crystal oscillator
TDMA
Time division multiple access
TOF
Time of flight
UML
Unified modelling language
USB
Upper side-band
VCXO
Voltage controlled crystal oscillator
WHISPER
Wideband HF Ionospheric Sounder for Propagation Environment Research
\IX
Chapter 1 Introduction
1
Chapter 1.
Introduction
This thesis describes novel work in the areas of digital radio and its application to the high frequency (HF, 2-30 MHz) band. The propagation environment at these frequencies has a significant impact on the performance of radio systems (especially data communications). However, the ability to communicate information over very long ranges using ionospheric propagation paths without any intermediate infrastructure makes the use of HF attractive for many applications. In order to increase the utility of HF communications there is a strong desire to increase HF data rates. Currently data rates of up to -2400 bps can be reliably achieved in standard 3 kHz HF channel allocations.
Whilst
further increases in data rate within the confines of these
narrowband frequency allocations is likely, the use of larger bandwidths (contiguous or otherwise) appears to offer potential for much greater throughputs. This requires a greater understanding of the characteristics of wideband channels and also requires transmitting and receiving equipment capable of wideband/multi -channel operation. This thesis details research undertaken over a three year period between April 1998 and April 2001 funded by the author's employer, the Defence Evaluation and Research Agency (DERA), part of the UK Ministry of Defence. The research was undertaken as Research Communications the at and engineers a working collaboration with scientists Centre (CRC) in Ottawa, Ontario, Canada under a UK-Canadian government agreement [MOD, I] defence technology and science on collaboration on The original aim was to investigate the characteristics of wideband HF ionospheric propagation
channels
communications.
in
order
to
exploit
them
for
high
data rate (HDR)
Very early on an opportunity was identified to work with CRC to
implement and demonstrate a HDR modem providing 16 kbps in a6 kHz bandwidth. The success of this work contributed to the standardisation of extended bandwidth HDR [DOD, 2]. IOB MIL-STD-188-1 in a widely used military modem standard; waveforms Work started on the development of a new channel sounder to provide data to be used in the investigation of the wideband channel.
This involved the design of wideband
Chapter 1 Introduction
transmission and reception equipment. What started out as a means to an end became a key focus of the research as it became apparent that it would be possible to build a high performance direct-sampling digital HF radio. A new wideband digital HF transceiver (HF software radio) with such an architecture has been implemented and is presented in this thesis. This was used as a platform on which a new wideband channel sounder, known as WHISPER, has been developed. The development of WHISPER and its use to investigate the wideband (-80 kHz) HF channel is also documented.
1.1
Structure of Thesis
This chapter provides an introduction and some background to the research presented in this thesis. Chapter 2 introduces the HF propagation environment (particularly
communications).
summarised.
HF channel simulation
communications
The
effects
of
and its impact on radio systems
noise
and interference
are also
techniques that may be used to develop and test
systems are discussed. Characteristics of the wideband HF channel and
identifying models considered, applicable channel are
a number of areas in which work
is required to provide a better understanding of the processes at work.
In chapter 3 the key technologies used to implement data communications waveforms interleaving, forward including modulation and channel error correction, are reviewed equalisation.
Practical application to HF is illustrated by examining the design of a
modern narrowband serial tone waveform.
Finally techniques applicable to wideband
introduced. high throughput are communications and Chapter 4 describes a novel high data rate 16 kbps prototype modem operating in an kHz. 6 bandwidth of extended
Results from HF simulator measurements and on-air
data high limitations The rate of such testing of the modem are presented. performance for identification discussed leading the which applications to of range of an modems are benign be be on they can used reliably: notably on surface wave paths and expected to Skywave paths. Finally a number of alternative extended bandwidth waveforms are high developed that of recently proposed and their performance compared with throughput narrowband (3 kHz) waveforms. Chapter 5 focuses on the architectures and implementation of wideband and multihigh HF environment places on channel digital HF radios. The requirements that the
I
Chapter 1 Introduction
3
performance receiver design are considered. Results obtained from the characterisation of a high quality conventional narrowband HF receiver are given to establish a basis for comparison. A very high performance, direct sampling wideband digital HF receiver is proposed. Such a receiver would (conceptually) allow an arbitrary number of channels to be simultaneously received using a single RF front-end and digitiser. The design and performance of a practical receiver of this type is considered in detail. In chapter 6 the design and implementation of a new prototype direct-sampling digital HF receiver is presented along with measured performance results. These are discussed and suggestions for improvements to the prototype design are advanced Chapter 7 describes the implementation of a wideband, multi-channel digital HF transceiver, using the direct sampling architecture. The design of the transceiver, which has been specifically conceived as a highly re-configurable software defined radio system, is explained.
Descriptions of the key sub-systems including the diversity
receiver, transmitter, the digital signal processing (DSP) sub-system and the control software are given. Chapter 8 deals with a particular challenge of complex systems such as software radios the effective deployment of application software across a number of heterogeneous processors.
This chapter proposes a new asynchronous, event-based, processing
architecture which employs lightweight (low overhead) active messaging to allow processing tasks to be effectively distributed across multiple processors and across buses. The architecture and its effective implementation on the digital transceiver hardware are described. Suggestions for further developments and improvement have been made. Chapter 9 provides a brief introduction to channel sounding techniques before introducing, WHISPER, a new oblique wideband HF ionospheric sounder. The design is based low this on software radio of power pulse-compression sounder, which techniques, is introduced and its implementation as an application on the wideband digital HF transceiver described. The chapter then considers the design of sounding waveforms
suitable for
an investigation
kHz) (-80 the wideband of
channel
Finally, the Skywave results of channels. propagation characteristics of mid-latitude back-to-back measurements performed at RF are analysed to confirm the performance of the sounder.
3
Chapter 1 Introduction
4
Chapter 10 describes a short campaign of wideband measurementsthat have been made over a 170 km path in the UK during Spring 2001 using the WHISPER sounder. The results of these measurements have been analysed and confirm the ability of the sounding instrument to measure the channel scattering function and the amplitude and phase within individual modes. A number of possible directions for a more detailed analysis of the data are then suggested. Chapter 11 identifies a number of areas in which digital HF radio may be applied to advantage. Finally, chapter 12, draws some conclusions from the work presented in this thesis and identifies recommended areas for further work.
1.2
Original Work
This thesis contains several elements of original work in the areas of high throughput HF communications, high performance HF digital radio architectures and their implementation, implementation of a wideband HF channel sounder using the digital radio and in the conclusions drawn from measurements obtained during on-air trials.
the analysis of wideband channel
Specific contributions to development of
the field are identified below:
1.2.1
High Throughput
HF Data Communications Employing
Extended Bandwidth (6 kHz) Channels New waveforms have been proposed for the transmission of higher data rates in an laboratory kHz). The bandwidth (6 tests and analysis of HF of results channel extended data collected during on-air trials of these 16 kbps waveforms are presented. Analysis undertaken indicates that these new waveforms are capable of reliable operation over Skywave benign HF channels providing a sufficient received signaland wave surface to-noise ratio can be maintained.
The work presented has contributed to the
international standardisation of higher throughput waveforms (specifically US MILSTD-188-11OB). It has also demonstrated the value in exploiting wider bandwidths for HF radio applications.
4
Chapter 1 Introduction 1.2.2
j
Architectures
for Wideband
Digital Receivers and Transmitter
Exciters Architectures (software
for the implementation
radios) have been investigated.
digital HF receiver has been proposed.
A new direct-sampling
allow an arbitrary number of channels to be simultaneously
propagation,
architecture
for a
In such a receiver the entire HF band is digitised
and then all subsequent processing is undertaken digitally.
front-end and digitiser.
digital HF radios
of wideband and multi-channel
Conceptually
this would
received using a single RF
The requirements for high performance receivers due to the HF
noise and interference
performance conventional
have been established.
environment
A high
narrowband super-heterodyne receiver has been characterised
to establish a basis for comparison.
A design for a practical direct sampling receiver is
proposed and analysis presented which indicates that is now possible, for the first time, to construct a high performance receiver of this architecture.
The work shows that, with
careful design, such a receiver should attain performance
comparable with (or even
exceeding)
that of the majority
receivers.
A prototype
transceiver confirming
1.2.3
platform)
wideband
has been
of conventional direct
super-heterodyne
sampling
implemented
and
receiver its
single
channel
(part of a digital
performance
HF
characterised
the potential for such a design.
Implementation
Transceiver Digital HF Wideband of a
A new high performance wideband, multi-channel HF transceiver (HF software radio) has been implemented. It designed has been direct the and sampling architecture using implemented as a highly re-configurable software defined radio platform intended to including diverse use as a radio/modem, channel sounders and an applications support four feeding front diversity incorporates It RF channel simulator. end a two channel independent receiver channels and a four channel transmitter exciter with a single RF output.
The design is very compact, being implemented on a single peripheral
host into be interconnect (PCI) personal computer a plugged card which can component (PC).
Chapter 1 Introduction
1.2.4
6
Development and Implementation
of a High Performance
Asynchronous Event Based Processing Architecture A
lightweight
event based processing architecture for use across an array of
heterogeneous processors has been conceived, developed and implemented on the wideband digital HF transceiver platform. It uses an active messaging concept in which messagesarriving in a queue cause pre-defined processing activities to take place.
1.2.5
Design and Implementation
of a Wideband HF Channel
Sounder using the Digital HF Transceiver A new, high resolution wideband oblique HF channel sounder, which has become known as WHISPER, has been developed and implemented as an application on the wideband digital HF transceiver platform.
The system is very flexible with sounding
waveforms and their characteristics (sounding waveform, bandwidth, repetition interval file. determined by being configuration a etc)
The sounder makes use of an external
GPS receiver to provide accurate synchronisation of transmitter and receiver in order to be to time-of-flight measurements made. Pulse-compression sounding waveforms allow fidelity high have been designed to time allow sidelobes with carefully controlled kHz) HF (-80 the time channels. wideband of characteristics varying measurement of The high performance of the complete sounding system has been verified through backto-back RF tests in the laboratory.
1.2.6
Analysis of On-Air Wideband HF Channel Characterisation Measurements
The WHISPER wideband sounder has been used to make high resolution measurements UK. in km 170 the impulse southern path response on a of the time varying complex The results of these measurements have been analysed and confirm the ability of the function the instrument the amplitude and and to scattering channel measure sounding detailed for directions A individual more a number of research modes. phase within been have HF design proposed. modems, of wideband analysis, pertinent to the
6
Chapter 2 The HF Propagation Environment and Its Impact on Communications
7
Chapter 2.
The HF Propagation Environment and Its Impact on Communications
This chapter introduces the HF propagation environment and its impact on radio systems particularly communications.
For a much more comprehensive and detailed
treatment of the subject the reader is referred to the texts that have been extensively used in this chapter's preparation; [Davies, 3], [Goodman, 4] and [Maslin, 5]. HF radio propagation (2 to 30 MHz) provides both line-of-sight (LOS) and beyond lineof-sight (BLOS) coverage and can occur by a variety of mechanisms. Direct wave propagation provides true LOS communications whereas the surface wave mechanism is BLOS and especially effective over sea paths supports shorter range communications providing typical ranges of 200 km or more. For greater ranges sky wave propagation must be exploited.
2.1
Surface Wave Propagation
Surface wave (or ground wave) propagation is supported over short distances on land (perhaps up to -30 km depending on terrain) and at much greater distances over highly 5]. [Maslin, sea water conducting vertically
This mode of propagation requires the use of
is commonly and polarised antennas
communications.
line-of-sight for extended used
Curves which show field strength versus range for ground wave
6]. 368-7 [ITU, in P. ITU-R propagation are given
2.2
Sky Wave Propagation
2.2.1
Structure of the Ionosphere
Sky wave communications, which involve transmitting signals beyond the radio horizon, rely upon refraction of the signals by the earth's ionosphere [Davies, 3]. The ionosphere is a highly inhomogeneous ionised region of the earth's atmosphere lying in
7
Chatter 2 The HF Propagation Environment and Its Impact on Communications the altitude including
range 85 - 1,000 km.
ultra violet (UV),
Its presence is primarily
(loss processes) occur due to the collision of
ions and the attachment of electrons to neutral gas atoms or
electrons and positive molecules (the principal
density
due to solar radiation
x-rays and energetic charged particles all of which cause
ionisation of neutral gases. Recombination
ionisation
8
chemical reactions are given in [Davies. 3. p63] ). Different
and loss processes become predominant
and temperature
profiles
at different
as well as incident
altitudes
solar radiation)
(related to
resulting
in a
layered structure (Figure 2-1). The principal regions of the ionosphere are designated D. E and F. Some of these regions are themselves layered or structured (e. g. E, E, F1 and F2). The number of layers, their heights and their ionisation density vary with time and in space. Variations year solar cycle
occur diurnally
(Figure 2-1, Figure 2-2), seasonally, with the II
and due to changes in geomagnetic
ionosphere is particularly
complicated
The high latitude
activity.
and will often be significantly
different
to that
lower latitudes. mid and observed at
Sun
F2 4%,W
-
F1
D 40 ay it
Figure 2-1 The Earth 's Ionosphere and its Principal
2.2.2
Regions [Mslin,
5]
D-Region
km 90 from 70 for The D-region, principally responsible signal absorption. extends HF leads ionisation to day signal strong ionised. During is the solar only weakly and D-region hours sunset latitudes of low of At couple a within and absorption. mid
8
Chapter 2 The HF Propagation Environment and Its Impact on Communications absorption becomes negligible
contributing
9
to the stronger signal strengths and
increased noise experienced in the HF band at night. As the region is caused b} solar radiation it is observed to be stronger during the summer than the winter.
300
F2
F1
200 rn
Night i 100
D
109
Day
1010
10"
1012
Electron Concentration (M-3)
Figure 2-2 Typical Electron Concentration within the Ionosphere [Davies, 3]
2.2.3
E-Region
The E and F regions are predominantly responsible for sky wave reflections. The level km 110 ionisation in E-region induced the of with the peaks near an altitude of solar daytime region generally being very regular. At night only residual ionisation remains and the E-region virtually
disappears.
The E-region plays an important part in
km). (70°. During large flares highly energetic protons are
Polar Cap Absorption
by ionisation ionosphere, On they the colliding with gas cause entering released. molecules.
The resulting PCA can last for as long as several days exhibiting
in high day The the polar cap and time. the through effect starts strong absorption is linked PCA to the The sunspot events of occurrence southward. can move cycle. "
Ionospheric Storms - Whilst SIDS last for short periods of time and PCAs are lowionospheric latitude high and midaffect storms phenomena, principally a latitudes.
Ionospheric
storms include
geomagnetic storms, auroral and
by D-region be These absorption accompanied may etc. storms magnetospheric (expansion F-region E. and storms (auroral and sudden commencement), auroral These which storms, F2), diffusion of emissions. noise radio and scintillation, being particles days, charged of last the stream of a result are several may Whilst field. the by the magnetic earth's deflected towards the auroral regions impact biggest terrestrial the on maximums maximum effects are observed at solar be likely is to at solar minima. radio systems
2.2.7
Ionospheric Propagation
back directed they that are The ability of the ionosphere to refract HF radio signals so level by determined is the of into (rather space), than passing towards the earth ionisation
frequency of angle the and and present
incidence of the signals.
dependent is many upon for BLOS frequency communications Consequently, selection factors including the link geography and time-of-day.
13
Chanter 2 The HF Propagation Environment and Its Impact on Communications
Escape ray
Skip ray
14
High angle rays
Low angle rays
Critical angle, 14a Zip distance
Figure 2-5 Ray Paths as a Function of Elevation at a Single Frequency [Maslin, 5] Figure 2-5 shows how the trajectory of a single frequency signal varies as a function of by ionosphere be Low the and return to earth reflected elevation signals will elevation. for distance from launching The the sufficient critical angle antenna. at a considerable its from layer is to to to electron a proportional occur produce reflections refraction density. As the elevation of the transmitted radio wave increases it is reflected to earth between be The the received, signals can no region where at shorter and shorter ranges. transmitter and where the sky wave returns fall, is known as the skip zone. At still higher elevations the ionosphere does not refract the signal sufficiently to reflect it immediately and it penetrates further into the ionosphere and is dispersed over much launch the When distances (high the critical angle exceeds elevation ray). angle greater for the layer altogether the ray will pass through it and is termed an escaperay. When an electromagnetic wave interacts with electrons in the ionosphere the earth's (0) into the and two field to ordinary the components; split signal causes magnetic 0in interactions the Further (together resulting (X) 'O-X'). result waves extraordinary detail in discussed is This greater having much X wave a particular polarisation ellipse. in [Davies, 3, pp.226-232] and the reader is referred there for a more complete description. distance for (MUF), frequency particular The maximum usable communications at a by: is layer for approximated a specific and MUF = fo sec0
(2-1)
incidence the is 0 layer on the frequency of angle f, is the and, the critical of where reflecting layer.
Over longer distances the curvature of the earth and the vertical
14
Chapter 2 The HF Propagation Environment and Its Impact on Communications
15
ionisation profile must be taken into consideration so a correction factor, k, whose value falls between 1.0 and 1.2, is introduced [Davies, 3], [Van Valkenburg, 8]: (2-2)
MUF = kf, sec0 Figure 2-6 depicts a VOACAP from Frankfurt, circuit sky wave
[Hand, 9] monthly median propagation prediction for a Germany to London, UK.
the MUF and circuit propagation loss typically
The figure illustrates how
vary with diurnal, seasonal and sunspot
activity.
12-
b. January, SSN = 150
a. January, SSN = 10
\(1\(
\P em 4,:.
SY,
x
1401
ýIfVF
-. ýI06 -
mm 00
ý. 5.00
__
d. July, SSN = 150
c. July, SSN = 10
Figure 2-6 Predicted Propagation
Loss and MUFfor
Frankfurt-to-London
Sky wave Circuit
in differences East-West (with component) Over long distance communications paths an ionisation degrees in and structure of varying the time-of-day are encountered, resulting frequencies, higher favour propagation in the ionosphere. Daylight portions of the path This the frequencies. of lower selection favour make can time portions whereas night day/night the for frequencies so-called across communications communications suitable terminator (see Figure 2-7) a difficult task.
15
Chapter 2 The HF Propagation Environment and Its Impact on Communications
Figure ?
2.3
Position of'Dav-Night -7
Terminator ut 100Z
16
in December
NVIS Propagation
Near vertical incidence sky wave (NVIS)
km and beyond [Maslin,
to ranges of -150 platforms
supports terrain independent communications
at low-level
operating
5].
are required
Where ground stations or airborne to communicate
deep in hilly
or
mountainous areas, the NVIS mode of operation frequently provides the only means of direct communication. significant
vertical
frequency
radiation
management.
time absorption) electrically
2.4
The effective
use of NVIS
component
Achieving
can be a particular
requires antennas that provide a
(i. e. horizontally
polarised)
and careful
level (and overcoming signal an acceptable
day
when low powered transmitters
and
challenge
small antennas are utilised.
Impact of Propagation
This section introduces the principle
on Radio Waves HF that signals propagating perturb mechanisms
be have. Whilst impact describes to these they the that considered are often effects and purely detrimental
the following
discussion
also seeks to identify
how the resulting
by in the be in exploiting to system a suitable advantage signals can used changes resulting diversity in the received signals. The ionosphere is a dispersive medium leading to spreading of the pulses travelling through it.
Reflections from multiple layers combined with multi-hop propagation
be the dispersion in Time order of of may multipath and results multipath returns. Hertz Doppler (fading) of many (occasionally >_10ms), and spread several milliseconds (occasionally >_40Hz) may be observed. The severity of these effects is particularly 16
Chapter 2 The HF Propagation Environment and Its Impact on Communications
17
significant at high latitudes (above 65°, i. e. in auroral and polar cap regions, [Davies, 3], [Angling, 10]) where the ionosphere is severely affected by energetic particles arriving indirectly from the sun. Similar disturbances may also be observed at low latitudes (i. e. within 15° of the equator).
2.4.1
Attenuation
The principal causes of radio wave signal attenuation are: "
Free space Propagation Loss essentially the loss due to the spatial spread of energy.
0
Environmental
Absorption
and Ground
Reflection
Losses
Absorption -
in the
environment due to low conductivity media (e.g. terrain losses) and surface scattering. "
Reflection Losses - Imperfect reflection of signals or scattering in the ionosphere.
0
Ionospheric absorption - Absorption in the ionosphere.
"
Polarisation
Loss - An inability to pick-up all the available power at a receive antenna because it does not match the polarisation of the incoming radio wave.
2.4.2
Multipath
and Signal Dispersion
A number of mechanisms signal to be received.
cause multiple,
These are commonly
returns (modes) can be identified.
time delayed, versions of the transmitted termed multipath where distinctly
separate
The principal forms of multipath and time dispersion
are:
0
both Under a ground conditions where be (Figure 2-8a) there a will wave and sky wave component can propagate Groundwave/Skywave
Interaction
is flight (>2.5 in differential time the possible on short ms of significant relative links during the day-time). 0
Reflections from Different Layers - Even for narrow transmitter antenna vertical beam widths, signals are launched with a range of elevation angles. Radio waves for the be if a angle critical they arrive at an angle exceeding will only reflected layer to produce reflections and this is proportional to its electron density.
17
Chapter 2 The HF Propagation Environment and Its Impact on Communications
18
Multipath is generated when signals arrive at the receiver having been reflected b% different layers with different electron densities (Figure 2-8b). 0
Differing Number of Hops - Signals arrive having undergone a different number of ionospheric and ground reflections (i. e. hops), see Figure 2-8c.
0
High angle/Low angle - As previously described, the angle at which radio w, ýaves impinge on the ionosphere can result in them taking substantially different trajectories to the receive location (Figure 2-8d).
"
Mode Dispersion
-
Finite antenna beam widths and the thickness of the
ionospheric layers and their varying refractive index, causes a continuum of dispersion Typical dispersion (Figure 2-8e). time the receiver; mode returns at HF [Maslin, 5] be systems are narrowband although within a mode may -200 µs is in dramatic A this phenomenon to example of more unable resolve such effects. the presence of spread-F; when the F-region is inhomogeneous contains many irregularities. Under such conditions, and particularly at high latitudes, delay spreads of several milliseconds are possible. "
is incident the When transmitted upon signal a ionosphere it leads to the excitation of differently polarised waves termed the
Magneto-ionic
Splitting
2-8f. The Figure O-X), (together see abbreviated ordinary and the extraordinary differing to independently amounts of O-X waves then propagate and are subject is frequency is delay to The and delay, fading and attenuation. related relative to Narrowband resolve in unable are systems typically measured micro-seconds. by detected be O-Xwaves may only this small time delay and thus the presence of With fading). (flat fading wider leads to interaction single-mode their which directly the two it becomes to kHz) observe (> bandwidths possible reception -50 design. importance to system wideband returns and thus they are of
18
Chapter 2 The HF Propagation Environment and Its Impact on Communications
19
F-laver ýr
a. Groundwave/Skywave
b. Different Layers
F-laver ayer
c. Different number of hops
d. High angle / low angle
Ordinary Extra-ordinary
e. Mode Dispersion
f. Magneto-ionic splitting
Figure 2-8 Summary of the Causes of Multipath and Dispersion [after Muslin, 5]
It should be noted that it is quite possible for a number of these mechanisms to be at work simultaneously causing a complex series of multipath modes, some with in 2-9 Figure illustrated is This be dispersion, which to received. appreciable [Arthur, II]. CW FM IRIS ionogram sounder collected using an reproduces an oblique
19
Chapter 2 The HF Propagation Environment and Its Impact on Common ccnj °
r rgure
2-9
l ypical
oblique
tit
lonogram
(Malvern
to Farnborough
I /. --I] ! U-Ui-!
2O
UU)
The coherence bandwidth of a system is proportional to the reciprocal of the multipath dispersion.
In a system with a bandwidth smaller than the coherence bandwidth the
impact of multipath is observed as non-frequency selective `flat' fading. In a system fading be bandwidth bandwidth the the than observed to will coherence greater with a be frequency selective as the interaction of the multipath components varies between frequency. function interference destructive of as a constructive and
2.4.3
Doppler Effects
There are two principal mechanisms that cause Doppler effects to be applied to induced Doppler. ionospheric Doppler and platform propagating signals: Ionospheric Doppler is caused when the reflecting layer is moving in such a way that the overall path length is changing. The Doppler shift is proportional to the rate of t, travelling frequency, For v, velocity, relative the with a signal phase path. change of fD, is: light, Doppler to the shift, c, speed of close
c
20
Chapter 2 The HF Propagation Environment and Its Impact on Communications
21
Given a radio wave reflecting off a single, ionospheric layer moving vertically with speed v,, the imposed Doppler shift will be related to the angle of incidence with the reflecting layer, 0. There also arises a factor of two because both the upward and downward phase path lengths are changing: 4) fD
COS o C
In additional to purely vertical movements (such as normal diurnal changes or due to rapid changes in ionisation caused by ionospheric disturbances), ionospheric Doppler shifts can be caused in more complex situations.
Examples include off-great circle
reflections from moving irregularities, high angle sky wave propagation through an inhomogeneous ionosphere etc. Clearly, Doppler shift can also be imposed on a radio wave by the component of velocity
of the receiver relative to the transmitter (normal to the direction of
propagation). Values of radio platform induced Doppler shift are generally larger than those caused in the ionosphere particularly for fast moving platforms such as aircraft. Equation (2-3) is applicable. For example at 90 km/h (25 ms-') the maximum induced Doppler shift imposed on a 10 MHz signal would be -0.8 Hz. An aircraft travelling at 300 ms' would produce a Doppler shift of -30 Hz on a 30 MHz signal. A useful `ruleis Hertz by `One is Doppler the that a moving radio platform shift produced of-thumb' per Mach per Megahertz'.
The acquisition and tracking of signals in the presence of
is i. Doppler Doppler shift, e. rate, particularly challenging. changing The same effect as Doppler shift can also be caused by frequency offsets between radio is frequency due colloquially to errors or setting reference errors system equipments designed be for to HF is to It Doppler operate with typical systems termed radio offset. frequency Hz total the frequency offset. to ±75 combined cope with offsets of up to a
2.4.4
Fading and Doppler Spread
is in there fading is a variation of to The term which any situation generally applied by be a This work within at mechanisms time. caused may with received signal energy due 2-1 in Table identified to fading) or (intra-mode as single propagating mode interference between modes (inter-mode fading); Table 2-2.
2
Chapter 2 The HF Propagation Environment and Its Impact on Communications
22
The interference of multiple modes leads to the establishment of patterns of constructive and destructive interference repeated at the fading rate. This results in frequency selective fading. For a channel with two multipath components, which have an inter mode separation of d s, the correlation bandwidth of the channel is approximately I/d Hz [Proakis, 14, p764].
Where the fading is caused within a single mode it
generally results in non-frequency selective fading termed flat fading. Cause of Intra-Mode Fading
Fading Type
Fading Period
Comments
Small scale irregularities in F-
Flutter
10 -100 ms
T}picallý associated with SpreadF.
region. Movement
of irregularities
in
Diffraction
ionosphere.
Typically
follow a Rayleigh
distribution.
Rotation of axes of polarisation ellipse. Curvature of the reflecting
10 - 20 s
layer
Polarisation
10 - 100 s
Focusing
15 - 30 min
Absorption
60 min
Skip
Usually
Requires both 0 and X magnetoionic components.
[Davies, 3]. Time variation of ionospheric absorption. Time variation of the MUF
Has greatest impact at sunset and sunrise.
non-periodic
Table 2-1 Summary of the Causes of HF Fading within a Single Propagation
Mode
Mechanisms that cause fast fading (fade periods of less than -10 s) are of particular interest to the designers of HF data communications
have because they a major systems
impact on modulation schemes that rely on amplitude or phase stability and thus often require special adaptive processing to overcome them. Fading Type High/low
angle rays
Sky waves Ground wave/skywave Magneto-ionic
splitting
Fading Period 0.5 -2s 1-5s 2- 10 s 10 - 40 s
Table 2-2 HF Fading Due to Inter-Mode Interactions
be It Doppler is may termed Frequency dispersion of a propagating signal spread. ionosphere. fine the the of by structure a number of mechanisms associated with caused Varying degrees of off-great circle propagation can result in a signal containing a length). in the path (due phase Doppler to variations systematic shifts continuum of Experimental work by Watterson et al [Watterson, 12], [ITU, 13] suggested that midGaussian be a latitude Doppler spread in narrowband channels could modelled using
22 it
Chanter 2 The HF Propagation Environment and Its Impact on Communications
23
distribution.
However, where the reflecting layer is tilted or moving with a component of velocity perpendicular to the principal direction of propagation the resulting Doppler spread is likely not be Gaussian or even symmetrical.
2.5
Propagation Diversity
The preceding description of the perturbations suffered by trans-ionospheric radio waves indicates the difficulty of developing HF radio communications systems. However these mechanisms result in inherent diversity that can sometimes be exploited to improve the quality and availability of communications: 0
Time-of-Arrival/Frequency each mode will receiver [Proakis, gain.
Essentially
generally
Spatial
have uncorrelated
14, pp797-806] this exploits
bandwidth significantly
0
Diversity - Where a multi-mode signal is received, Doppler
spread.
these can be re-combined in-band frequency
diversity
In a Rake type
providing
diversity
where the channel
exceeds the correlation bandwidth.
Diversity
As two closely spaced receivers are moved apart the correlation between the received signals decreases (as their paths through the inhomogeneous ionosphere become significantly
different).
The correlation
distance is defined as the distance at which the correlation coefficient reduces to l/e. Useful spatial diversity can be obtained with antenna separation distances of a few wavelengths, with a spacing of >_10,,being considered to provide a high degree of de-correlation, defined as a correlation coefficient
27 - l
(3-3)
ii
bps/Hz is the normalised capacity per Hertz of bandwidth, also termed
the spectral efficiency. It can be shown that there is an absolute lower bound on Eb/NO(irrespective of the complexity
of
the modulation
and coding
below schemes employed) which
communication is not possible:
Limit n-0o
2'
dB ln(2) 0.693 or = = -1.6
(3-4)
In practice, it has proved very difficult to achieve anything close to the Shannon bound discovery Only the of with complexity. receiver achievable with even remotely iterative coding, so-called Turbo-codes, [Berrou, 531 in the mid-1990s have practical bound. Shannon to the to systems started approach close This section provides a summary of the basic modulation techniques employed to The of adaptive data application channel. radio a over communications convey In is introduced. Doppler spread equalisation to mitigate the effects of multipath and to techniques reduce is coding control to the error of use addition, consideration given bit error rates (BERs) in a received transmission to a tolerable level.
39
Chapter 3 HF Data Communications
3.2.1
Amplitude
40
Shift Keying (ASK)
In amplitude shift keying the amplitude of the carrier is modulated by the data stream to be transmitted.
In the simplest case this results in binary on-off keving (OOK) as
depicted in Figure 3-2.
A successful demodulation technique employs incoherent
detection (envelope detection, Figure 3-3) and a Law assessor[Law. 54] to establish an in based for decision the threshold energy present a number of on each symbol adaptive interference. fading impact helps This the to and of signal mitigate preceding symbols. In a more general implementation of ASK, a number of binary symbols may be mapped to a multi-level
amplitude modulation.
This will increase the spectral efficiency
is ASK In decreasing not the practice (bps/Hz) at the expense of signal's robustness. its because in poor power efficiency. of generally used, part
0101101
aq
AIR,
UVVU
II JVududuJq
Figure 3-2 On-Off Keying (OOK)
40
Chapter 3 HF Data Communications
`-º
Received Signal
41
-
pop x2Decision Variable
r(t) No -º
-º
z(t)
X2
goo Squaring function (envelope detector)
Filter matched to pulse shape Reference cos(2icft)
Figure 3-3 Non-coherent , latched Filter Structure
3.2.2
Frequency Shift Keying (FSK)
In binary frequency shift keying (FSK), as depicted in Figure 3-4, the binary data sequence to be sent is used to modulate the carrier frequency.
This was traditionally
implemented either phase continuously using a single voltage controlled oscillator (VCO) or, non-phase continuously, by switching between the output of two oscillators at the two tone frequencies, known as frequency exchange keying (FEK). FSK may be received using a number of techniques. The optimum performance in an AWGN channel is obtained utilising orthogonally spaced tones [Burr, 51] and coherent detection using two matched filters.
Two signals, x, (t) and x, (t) are orthogonal if ,
their inner product is zero: XI(t)xz (t)dt =0
(3-5)
For use on HF channels, wide deviation FSK, with non-coherent detection and a Law assessor is often utilised.
Even though non-coherent detection suffers a penalty of
increased has in AWGN, detection technique this dB compared with coherent -1 interference To in fading and mitigate against narrowband channel. robustness a frequency selective fading the signal is detected as two independent OOK signals and then a decision is made given the additional knowledge that the two are complementary.
41
Chapter 3 HF Data Communications
4
I 0101101
fl
f2
f1
f1
f2
II Vu
V
ýý
f1
V
Iý
f2
dU
lý üIV V
Figure 3-4 Frequency Shift Keying (FSK)
3.2.3
Multi-level
Frequency Shift Keying (MFSK)
A generalised multi-level extension of binary FSK (2-FSK) is MFSK in which multiple tones are utilised.
The source data is encoded into a stream of multi-bit symbols and
frequency. If `A1' tones are used, to tone a particular each resulting symbol mapped then each tone may carry 'k' bits of information, where: k =109 (M) or M=_1k z This is illustrated in Figure 3-5 for 8-ary MFSK.
(3-6)
In this case k=3 consecutive bits are
is into transmitted as one of eight possible tones. encoded a symbol which
42
Chapter 3 HF Data Communications
F F2 7fN. '001'
-, nn
a ý, 1" , 11 17J 1ý1
A1rA1A1A1A
43
--
-
1ic
1ý 1`
F7 110
F5
----
A11A1AAl
Symbol Duration, T 001'
'110,
ýý
.100,
il ýIýý IIIýIIIýýýý Iý
Iq ^I Il I"I
II
ICI
ýI+
V
ýu
U
liil
u
Iý
If
t figure 3-S M=N, M-ary Multi-Frequency
Shift Keying (AIFSK)
MFSK receivers for use on fading radio channels generally employ a bank of noncoherent matched filters (as per Figure 3-3). A non-coherent matched filter, optimised to the symbol length `T', has a frequency response which is a sinc function with nulls every l/T Hz. It can be shown that performance is maximised if the tones are spaced orthogonally if the tone spacing, df, is [Sklar, 55]: Af =-,
where n=1,?, 3,
...
Normally, unless very high levels of Doppler spread are anticipated, 'n'=l
(3-7) is chosen to
minimise the occupied spectrum (i. e. maximise spectrum efficiency): 1 Ofmin=T
(3-8)
MFSK has proven to be particularly suitable for the very robust transmission of data for disturbed including Clark, 57] 56; data [Ralphs, low HF rates over channels at For low SNRs. Doppler (high a commensurate and at spread) channels multipath and data rate a higher order MFSK waveform (M=16 or M=32 is typical) can significantly the in MFSK durations to long against 2-FSK. The protect able are symbol outperform by (as inter-symbol interference multipath). caused effect of
43
Chapter 3 HF Data Communications
3.2.4
44
Phase Shift Keying (PSK)
In phase shift keying (PSK) information is transmitted using a constant amplitude carrier, modulating its phase according to the symbols to be transmitted. In binary PSK (BPSK) the phase change is 180° (Figure 3-6b). detection offers the maximum performance.
In an AWGN channel coherent
In practical systems. particularly those
disturbed over working channels it is difficult to establish the required phase reference. In this case differential
PSK (DPSK)
can be utilised.
For DBPSK the phase is un-
altered if the next symbol is a '0' and reversed if the next symbol is a' 1'. In this case the phase reference for each symbol is the previous one (Figure 3-6c). easier to implement, than coherent BPSK. HF waveforms
Whilst this is
errors tend to come in pairs, and its performance is -3 dB worse An alternative approach, which is commonly applied in modern
which seek to maximise performance, is to take additional measures to
equalise the effects of the channel making coherent detection possible. The equalisation is discussed in detail in 3.2.8. section greater of received signals
1011
I
010010
(a) Digital Data to be transmitted
(b) Binary Binary Phase Shift Keying (DBPSK)
1I IA i' (c) Differential Binary Phase Shift Keying (DBPSK)
Figure 3-6 Binary Phase Shift Keying (BPSK)
44
Chapter 3 HF Data Communications
45
Imag
010 011
001
100
000 Real
101
-
111
110
Figure 3-7 8-PSK Constellation Multi-phase PSK (M-PSK) encodes a number of data bits to be transmitted into a symbol which maps to a particular phase. For example, in 8-PSK three information bits map to a single symbol (Figure 3-7). This increases the throughput (spectral efficiency) at some cost in the required Eb/NOto maintain a given BER (as the distance between constellation points is reduced). 4-PSK or quadrature PSK (QPSK) is a special case in that the distance between symbols in the constellation is the same as for BPSK and so, theoretically the performance is the same. A common method of implementing a QPSK modulator is illustrated in Figure 3-8.
Practical M-PSK waveforms for use at HF
require the use of equalisation to provide acceptable performance.
x, Binary data to be transmitted
100
S(t)
Serial to Parallel Convertor
-º
Q
90°
Reference cos(2 rzf,t)
Figure 3-8 QPSK/QAMModulator
45
Chapter 3 HF Data Communications
3.2.5
46
Higher Order Modulation Modulation
Quadrature Amplitude -
(QAM)
Where higher spectral efficiencies are required, combined phase and amplitude modulation can be employed, effectively still modulating a single carrier. In quadrature amplitude modulation (QAM) a series of binary digits to be transmitted is mapped to a symbol which represents a phase/amplitude combination. 16-QAM (Figure 3-9) has a theoretical
4 bps/Hz
spectral efficiency
although this
is reduced in practical
implementations by the inclusion of error correction codes and synchronisation/training data (discussed later).
Imag
1101
1100
1001. ... .....
' 1000
4ý0001 ........
0101
+
0000
0100
Real 1110
f ........
1111
1010
0010
1011 1
0011
4 ...
.
0110
0111
Figure 3-9 16-QAM Constellation The application of modulation schemes, such as QAM to HF is still relatively new and implementations to mitigate the effects of the the requires use of sophisticated receiver HF channel (including adaptive equalisation, effective error control coding). Even so, the application, particularly of higher order QAM schemes, is limited to relatively benign channels with good SNR.
3.2.6
Higher Order Modulation - Multi-Carrier
Techniques
An alternative approach to using single tone waveforms (such as QAM) to provide high spectral efficiencies is to modulate a series of carriers.
Most modern multi-carrier
(OFDM). division frequency implemented multiplexing waveforms are as orthogonal
46
Chapter 3 HF Data Communications
4
The modulation applied to each carrier varies from simple schemes such as DBPSK (e.g. Kiniplex, [Mosier, 58]) to using multi-level schemes like QAM (e. Digital Radio g. Modiale MF/HF broadcasting, [Stott, 50]). A particular advantage OFDM is that it of may be efficiently implemented using Fast Fourier Transform (FFT) filter banks as the core components of both modulator and demodulator. The implementation of OFDM provides an inherent tolerance to multipath as the symbol rate on each carrier is very low. However, additional measures do have to be taken. In particular a guard period (in effect a lengthening of the symbol period) has to be applied to reduce the intersymbol caused by multipath.
In order to allow coherent demodulation known pilot
tones and pilot symbols are inserted to allow the impact of the channel to be identified and mitigated.
Other techniques such as interleaving are utilised to mitigate against
frequency selective fading and narrowband interference.
These issues are well
described in [Burr, 511. The construction
of the transmitted
in the transmitted carriers results ratio (PAR).
signals from a series of independently signal having a significant
modulated
peak-to-mean amplitude
This is because at some instances the outputs of the individual modulators
will add coherently). by SNR, transmitter
Where, as is often the case at HF, system performance is limited power is a key factor.
In a practical system it is not untypical for
the transmitter to have to be backed off by >l0 dB to avoid saturation at peak powers. This issue is not always reflected in comparative waveform performance comparisons.
A number of techniques have been developed to reduce the impact of the PAR including 591 takes [Shepherd, which clipping adaptive and mapping symbol semi-orthogonal 60]. [Enright. fact that the occur the severest excursions rarely advantage of
3.2.7
Relative Performance of Modulation Schemes
be discussed can The relative performance of many of the modulation schemes 3-10 (based in Figure on BER in AWGN presented the plots performance compared A 61]). [Stremler, 14] additional of [Proakis, from number [Burr, 51], and analysis observations are appropriate: 0
HF fading in Performance AWGN The performance plotted is for an channel. least, QAM PSK require at in and be the of case poorer and, channels will equalisation.
47
Chapter 3 HF Data Communications
48
Higher order MFSK modulation provides improved robustness (i. e. lower Eb/No
"
operation) at the expense of reduced spectral efficiency. Conversely higher order PSK and QAM provide increased spectral efficiency (bps/Hz) at the expense of robustness. As would be expected from an inspection of the M-PSK
"
and M-QAM
constellations, at M>8 the robustness of QAM starts to exceed that of PSK.
10'
.
`---------- -- - --------------------------------
------. -. e. -`----------------'
- ---
ý`------------------------
---------------
-
-------------
102
-
2-FSK (non-coherent)
----
ý__
&FSK 16-FSK
---------------------
_...
- -'----
---------4_...;
---
--'-
--'-----
--
-------------------------------
-----------------
CT w m
w m J
----------
-
....
---------------
----------
10°
---
B-PSK 16-PSK 4-QAM 16-QAM 64-QAM
------- -- - ---------------------------------------------------------------------------------------------- -------------------------------------------
-------------
---------------------
04
._... DBPSK
--
-----------------------'-----------
_""______________
BPSWOPSK
------------------
-
----
- ---------
---------------------------
ý5
ý
10ý
---- - -- -- -----------
--------------------------------------------------
-------------
-------------
..................
-----------------------------
--------
------------
__
------1_
ý. ___i_ .. r _ ....... _____________ _
_.......
_.... -_... _____ -------
------------
-------------
--------------
------
--------------
---
-
------------
ii_i 0
5
15
10
20
25
05
Equalisation
20
25
Eb/No (dB)
Figure 3-10 BER Performance of Various Modulation
Adaptive
15
10
Eb/No (dB)
3.2.8
---------{.
------------------__---------t-----
------
---------------------------`--------............... -`---------------------------------------------',
--
---ý----'-----.....
------------------------------------------------'-----'`°--°.
10°
10'
to Mitigate
Schemes in an A WGN Channel
Multipath
and Doppler
Spread The relative delay between signals arriving at a receiver due to multipath can cause Skywave HF in the ISI, multipath may span where as such channels severe particularly many symbols.
For example, the symbol duration in a standardised 3 kHz HF
waveform such as MIL-STD-188-11OA
[US DOD, 62] is -417 is (2400 symbols/s)
frequency Further, be in 5 excess of ms. compared with the multipath which may dispersion (Doppler spread) and distortion introduced by the transmitter/receiver will in the received waveform which can adversely variations amplitude and cause phase by be This demodulation. employing equalisation. corrected may effect 48
3 HF Data Communications
4()
Input Signal xw
C. z
Cu
C,
C2
I
Tap Weight Adaptation EqualisedOutput
V1111I F.
IN.
Figure 3-11 Linear Transverse Equaliser In its simplest form a linear 'zero forcing'
equaliser can be used to filter the received
frequency H(_): inverse the the response, of channel z-transform signal with
(3-9)
C(-) _1 H(_)
Whilst it is possible to set the coefficients during the passage of unknown data ('Blind known include it is the to 'training' to coefficients allow symbols usual equalisation') in data is is be Where the training the channel not stationary repeated at a rate to set. excess of the Nyquist rate of the channel. A zero forcing equaliser can be formulated using an infinite length linear filter: qk
(k = 0)
X1 -I
CJ1
k-J
0
(k
#
(3-10)
0)
A finite impulse response (FIR) linear filter (as illustrated in Figure 3-11) approximates this: Y-C1"k-j
Ik -
j=-K
In 14]. [Proakis, is particular However, such an equaliser's performance sub-optimal fading in is when the presence of the performance of such a linear equaliser very poor Indeed, to in signal. filter the a real of absence the can significantly amplify noise is the impulse the of filter conjugate response whose ensure stability, a noise-whitening equaliser filter is sometimes employed. A better approach than the zero-forcing criteria is to minimise the mean square error (MSE), between the symbol transmitted, Ik and that detected, Ik . ,
49
Chapter 3 HF Data Communications
50
A more advanced equaliser is the non-linear decision feedback equaliser (DFE), illustrated in Figure 3-12.
The feed forward section is the same as for the linear
described above. equaliser
However, a feedback filter is added whose input is
detected symbols. previously
Functionally its aim is to remove from the present
by ISI detected the that part of caused previously symbols. estimate Input from Coherent Detector
Output Data Symbols
Feedforward Transversal
+_
Filter
} Ik
Symbol-by-symbol Detector
{I
I k
Feedback
Transversal Filter
44
Figure 3-12 Decision Feedback Equaliser (DFE)
In this case the equaliser output can be expressed as: Ik
CJVk-l l=-K1
+ýCIIk-J
(3-1?)
)=I
where Ik
is an estimate of the kth symbol as before,
Ik
is the kth detected symbol
cj
feedback K2 forward feed K1+l coefficients the and are
Given the requirement to jointly optimise coefficient sets Kj and K2 to achieve the MSE criteria: J(K,, K, ) = EIk -IkI2
(3-13)
14]: by [Proakis, filter forward feed are given the coefficients of the 0
(3-14)
where
50
Chapter 3 HF Data Communications
-;
gflj
hnh.
,»-o
51
+N0 ý, +,
i, j
(3-15)
1,0
and ho
...
hL_,
are the taps of the channel (length L);
No
is the channel noise density;
9ii
is the Kronecker delta matrix: Sj =1
for ij,
5ij =0
otherwise. The coefficients of the feedback filter can be expressed in terms of the coefficients of the feed forward filter:
Ck = J=-Ki
cI hk_ ,k
=1,2, ... ,
(3-16)
Kz
The feedback filter is able to completely cancel the ISI from previous symbols providing these have been correctly detected and that the filter length, K,, exceeds the length (total multipath dispersion). channel Since the multipath fading channels, such as Skywave HF, are not stationary practical modem implementations must be able to adapt continually and sufficiently quickly to track the changing channel.
Therefore the coefficients must be calculated using
computationally affordable, fast converging algorithms such as the Kalman Recursive Least Squares (RLS) algorithm [Hsu, 63]. There are a number of alternative adaptive equaliser structures including the optimum (but computationally
expensive) Viterbi
maximum likelihood sequence estimation
(MLSE) algorithm [Bartlett, 64], [Falconer, 65] and more efficient block decision feedback equalisers (BDFE), discussed in [Jorgenson, 69].
In both cases these
joint detection block the treat take process as a algorithms of symbols and a optimisation problem (as opposed to the DFE symbol-by-symbol approach).
Further
based FEC by improvements be the on equaliser adapting performance realised can corrected symbols.
3.2.9
Forward Error Correction (FEC) Coding
The majority of practical modems make use of FEC to provide acceptable bit error bits Essentially calculated parity these all employ the transmission of additional rates. 51
Chapter 3 HF Data Communications from the information bits to be transmitted.
52 This reduces the useful throughput but
increases robustness. This section aims to provide a brief introduction to the subject indicate the general performance that can be obtained. Error control coding is a and large subject and for detailed information in this evolving field the reader is urged to consult one of the large numbers of texts on the subject (e.g. [Lin, 70]). A code word of `n' bits is formed from 'k" information bits and n-k parity bits. The code rate, i. e. the proportion of information bits in a code word and therefore its is k/n. The bit in number of efficiency, errors a code word that can be corrected is essentially determined by the `distance' between possible code words and is clearly The be broadly FEC the to code principal rate. classes of can categorised as related `block' codes (e.g. Reed Solomon codes, Bose-Chaudhuri-Hocquenghem codes) and `convolutional' codes. Different codes have different properties. For example ReedSolomon codes have an ability to correct small bursts of errors whereas convolutional independent burst have have to that correct errors a much greater capability poor codes (random) errors.
A FEC code may either be utilised alone or, where additional
harnessing be (thus is the potentially may concatenated required, codes robustness benefits of different codes). The decoding process may be either `hard decision', where decoding is based on decisions', in demodulator, decisions 'soft the where the or, on made symbol demodulator provides the decoder with a numeric confidence for all its decisions. This likelihood determine be information to to a maximum good use put can additional decoding. This is now commonly done by forming a time series graph of all possible Viterbi block in the then (a trellis) and using a code received symbol combinations likely determine the to sequence of originally transmitted symbols. algorithm most Recently, a new class of codes, the so-called `Turbo codes' have been discovered [Berrou, 53]. These are constructed as concatenated component codes interspersed with interleavers. By utilising iterative, soft decoding employing a 'soft input-soft output' (SISO) decoder performance approaching to within a fraction of dB of the Shannon bound is possible with sufficient iterations. The performance curves for a number of different FEC schemes, operating in AWGN, 51]. [Burr, 14], in [Proakis, 3-13 Figure are presented
52
Chapter 3 HF Data Communications
1 10-
---------------
53
10-
BPSK uncoded Rate 1ß, k=7, Vderbi, Soft Decision -------- LRate 112, k=7, Vderbi, Sott Decision --_________ - Rate 113, k=7, VAerbi, Hard Decision __________-. """" Rate 112, k=7, Vderbi, Hard Decision ------------Reed Solomon (15,9) Reed Solomon (31,23) -----; - ---
-
I
_ yý-', )ý i -; - - »- - --i"
102 tc -------------------
----------------
-----
---
10-3
-----
--------------------------I -----
-------
------
a)
___
-------
--------
r ______
-ý------_'
- r-l-r--_ý-r 1-
----------------
CL, r_1_i___ 1. 1I
tII
____
----_-_-----_
----
----
J_____lt
ý_
--S
I.
-----------------
_--------
_____
--------------
__ -t-
-------------------_________--_--_--_
------'--------------------
-i----`,
F-----
_
-_
-----------------
--------------
-------
----------------
A------
--ýI
12
------
-----------------
_________________
---------------_____--_
10
---
__
I;
2468
-_
1
10.5
r--_
10-6L 0
--r
_____
r
I.
------------------
---+-----
____
----------
-------------------
----
------
104
I'
10 5
------
--------------------------
_
___---"-__-__
________ _______
ý
m ------__ _ __
--
-----------
W
-_-t: ___
-------
-----------------
------
__
_____
______ __ __
--
W
_t ____J-"
_
_
-
-- - -- ---------------------------------
103
- -----------_ ____
code, 1 deratlon code, 2 derations code, 3 derations code, 6 derations code, 18 derations
-- --------------------------------------
---
ö
104
---
______ _____
------------
ö
m
Turbo Turbo Turbo Turbo Turbo
-
___
------------------------------
-_t_J_L i--, ---
-" ---".....
j1
102 }t
BPSK uncoded Rate 12, Berrou Rate 112, Berrou Rate 12, Berrou Rate 12, Berrou Rate 1/2, Berrou
14
1I
-t}
-
---
--- -------------------
T --------------
02468
-----
10
-------
12
14
Eb/No (dB)
Eb/No (dB)
(a) Reed Solomon and Convolutional Codes Performance
(b) Turbo Code Performance Versus Number of Iterations
Figure 3-13 Performance of Various Forward Error Correction
Codes
3.2.10 Interleaving Practical FEC codes, whilst powerful for correcting information streams containing bursts large have independent (random) to of ability correct a poor errors, statistically is fading Interleaving a process of channel. errors such as might occur on a slowly block (illustrated be typically transmitted to the the a using scrambling order of symbols in Figure 3-14) or convolutional interleaver [Proakis, 14]. The interleaver 'depth' is be for HF fade duration; it this the several to to may expected chosen allow overcome becomes burst de-interleaving Following a number the of errors receiver, a seconds. at The hopefully FEC act of multiplexing a coded the correct. can of random errors which data steam onto a number of carriers for a parallel tone waveform inherently provides interference. fading from frequency narrowband and some protection selective However, an interleaver will still generally be used to overcome flat fading.
53
Chapter 3 HF Data Communications
54
12345
r--
1
1ýi
234567B9
W
nr2
n+3
m4
Tn
m5 --
2,1+1
31.2
2n13
21+4
211.5
3n
M ROWS il
Im-tlrwl
(m-1)nt2 Im-tlrw3
I
(m-1)n. 4 (m. 1)n+5
mit
n Columns
-
ý., ý.,
ý ý,
ý_ », 2
Mz
' -----
--
Figure 3-]-!
Operation of an (mxn) Block Interleaver
3.2.11 Synchronisation and Tracking Practical modem receive implementations must overcome a number of additional be Specifically, they to able to: need challenges. 0
Detect and acquire a transmission (initial synchronisation);
0
Determine and correct for Doppler shift on the transmission; and
"
Continue to track the signal being received correcting for Doppler shift and modem clock drift.
3.3
MIL-STD-188-11OA
Communications Data HF Tone Serial -a
Waveform This section concludes the discussion of modem techniques by introducing a modern HF waveform employing many of features discussed. MIL-STD-188-110A (MS-110A, [US DOD, 62]) is a serial tone waveform providing throughputs of 300 to 2400 bps based bps 75 highly is on There bps mode FEC 4800 robust a also with un-coded. and in-band spread spectrum.
MS-110A is based on the use of convolutional coding,
interleaving and adaptively equalised 8-PSK modulation format. The structure of the 3-15. in is illustrated Figure waveform
54
Chapter 3 HF Data Communications
Preamble
Data
1440 or 11520 symbols
20 symbols
(a) MIL-STD-1
88-11
OA, 300
to 1200
OA, 2400
Training 20 symbols
Data 32 symbols
and
Data
Training 20 symbols
20 symbols
_
EOM Sequence
---
bps
Preamble 1440 or 11520 symbols (b) MIL-STD-188-11
5j
4800
Training 16 symbols
Data 32 symbols
Training 16 symbols
EOM Sequence
-
bps
Figure 3-15 Structure of MIL-STD-188-1I
OA waveform
At all data rates the modem transmits at 2400 symbol/s in a bandwidth of 2.7 kHz. At data rates up to 1200 bps the training phase is 8.3 ms long and repeated at a rate of 60 probes/s. These numbers indicate the modem's ability to tolerate multipath and Doppler spread respectively [Brakemeier, The waveform
71 ].
FEC depends on data rate (see Table 3-1).
It utilises a matrix block
interleaver with three depths: zero (bypassed), short (0.6 s) and long (4.8 s). supports auto-baud; the ability
for the receiver to automatically
and interleaver settings of a transmission from information Data Rate
Bits Per 8-PSK Symbol
Effective Code Rate
identify
the data rate
in the pre-amble. FEC
Convolutional Code, Rate ' 2, k=7, repeated 4 times
150
1
300
I
'/4
Convolutional Code, Ratek=7, repeated 2 times
600
1
'/2
Convolutional Code, Rate '/2,k=7
1200
2
'/2
Convolutional Code, Rate '/2,k=7
2400
3
4800
3
Convolutional Code. Rate '/2, k=7 Un-coded
1
Table 3-1 Modulation/Coding Figure 3-16 shows a constant
It also
BER plot
[Arthur,
Parameters, for MIL-STD-188-11OA 72] of a measured commercial
Doppler spread and of multipath modem's performance envelope over a range conditions for BER=10-3. As can be seen the modem essentially operates reliably with Beyond dB SNR Hz Doppler either of ms. of to multipath and spreads of -6 -6 -10 dB indicate SNR_40 Regions limits deteriorates. these of the performance quickly SNR irrespective be the BER and available of where the met requirement could not indicates the performance limits of the waveform/equaliser.
55
Chapter 3 HF Dato Communications
6
Figure 3-16 Measured Performance of 1200 bps MIL-STD- 188-11 OA Modem (BER1O-3)
3.4
High Data Rate HF Communications
Figure 3-17 summarises the current (2001) state of progress that the international has achieved
research community increased throughputs
HF waveforms
(and includes work presented in this thesis).
users relied almost wholly communications.
in developing
Only
HF
and modems with For many years
baud FSK 75-300 waveforms on un-coded
for HF data
in the last ten years have more capable modems become
available supporting
Skywave data rates up to 2.4 kbps using sophisticated equalised
waveforms and FEC.
NATO
has led have US recently completed work which and the
to the standardisation of modems with data rates of up to 9.6 kbps [NATO, the aforementioned
waveforms
73]. All of
bandwidth kHz 3 in the standard operate
ITU
HF
allocations.
56
Chapter 3 HF Data Communications
Research to 64 kbps
iß
co Prototype 9.6 - 19.2 kbps
Now
MIL-STD- 1108
3.2 - 9.6 kbps STANAG-4539
Military Fielded 75 - 2400 bps
2000
1960s - 1980s
Narrowband 3 kHz
Extended Bandwidth 6 kHz
Bandwidth Wideband 12-100+ kHz Multi-channelling
Figure 3-17 Current Progress in Development of'HFData
Communications
(to 2001)
There are a number of potential technical directions that can be explored to increase HF data rates. These include: "
Waveforms already
higher with efficiency
highly
developed
sophisticated
waveform
latest The HF generation of waveforms are -
and make extensive
processing
use of new and recently
(e. g. DFE and DBFE
equalisers)
and FEC
techniques (e.g. Turbo codes). Whilst there are likely to be further improvements in this area large throughput gains are unlikely to be realised in the near future. 0
Diversity
Techniques
frequency or polarisation Use of spatial, -
diversity
is a
for improve known the therefore potential to technique robustness and well increased throughput.
Recent work has shown that, with the use of space-time
by is [Burr, 74], the number of throughput techniques constrained coding in the propagation medium. that transmission present are paths uncorrelated Diversity implementations require the use of multiple antenna apertures as well as multiple transmitter and/or receiver channels. 0
Wideband Waveforms - It may be expected that throughput can be increased in 52] the [Shannon. that bandwidth given proportion to the contiguous occupied HF in the wideband waveforms employed are capable of performing adequately channel.
Therefore an improved understanding of the characteristics of the
57
Chapter 3 HF Data Communications
wideband channel is required.
58 Further, equipment capable of wideband
transmission and reception is required.
For practical use suitable spectrum
allocations must be obtained. Previous work has investigated the implementation of Direct Sequence Spread Spectrum (DSSS) techniques [Dixon, 75] to HF by workers such as Milsom [Milsom, 24], Van der Perre [Van der Perre, 76] and Perry [Perry, 77]. 0
Multi-Channelling
(use of non-contiguous narrowband channels) -A related option is to increase throughput by splitting the data stream to be transmitted into a number of parallel channels and then transmitting these over a number of (potentially) non-contiguous channels [Jorgenson, 78]. This aims to provide increased bandwidth through the use of non-contiguous narrowband channels and has the advantage that it is more likely to be practical given the regulatory need for spectrum allocations.
This technique, whilst it requires the use of transmission
and reception equipment with multiple channels, may potentially utilise existing narrowband modems.
However, there is potential for increased efficiency by
adaptively exploiting differences and diversity between the narrowband channels in use. It can be concluded from the above that the principal opportunities for increasing HF data communications rates require the use of wider contiguous bandwidths or multichannel approaches.
3.5
Summary
This Chapter has introduced some of the key technologies used to implement data communications
modem
waveforms.
Waveforms
for
narrowband
HF
data
high to have been discussed techniques applicable wideband, communications and some throughput communications introduced.
In the next Chapter a new, high throughput
(16 kbps), extended bandwidth (6 kHz) modem is introduced. This modem employs interleaving, including: here introduced robust error correction, many of the techniques data high to rate of a provide adaptive equalisation and order modulation schemes 16 kbps over HF channels. In Chapter 7a new wideband, multi-channel digital transceiver (software radio) capable of supporting wideband and multi-channel operation is presented. One of its intended uses is an experimental software modem platform to develop and experiment with new data transmission techniques. 58
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
59
Chapter 4.
A High Data Rate Modem for Extended Bandwidth Channels
Considerable effort has been expended in recent years to increase data rates over narrow band HF channels as the demand for improved throughput over HF to support a variety of user applications increases. Until recently, state-of-the-art modems, incorporating waveforms such as MIL-STD-188-11OA
[US DOD, 62] and STANAG 4285 [NATO.
79] have had realistic limits of -2400 bits per second (bps) over HF sky-wave circuits. With improvements in digital signal processing and modem technology (especially the development of high performance equalisers and improved error control coding techniques) high data rate waveforms, such as those included in the forthcoming MILSTD-188-11OB [US DOD, 2] (formerly specified in Annex G of draft STANAG 5066 [NATO, 81]), are becoming practical.
Potential applications include high throughput
HF data networking and range extension for line-of-sight V/UHF radio links. This chapter describes a novel high data rate (HDR), 16 kbps prototype modem operating in an extended bandwidth of 6 kHz'.
The data rate was selected for
compatibility with extant line-of-sight radio communications systems and the operating bandwidth chosen to allow conventional independent side-band (ISB) HF radios to be utilised. Results from HF simulator measurements and on-air testing of the modem are presented.
The performance limitations of such high data rate modems will be
discussed leading to an identification of the range of applications for which they can be bandwidth HDR be Finally to expected used reliably. a number of alternative extended high introduced the that their rate of waveforms are and performance compared with 3 kHz waveforms now being standardised.
The initial concept for these extended bandwidth modem waveforms was the author's. The for implemented based proposed waveforms are on a new generation of narrowband waveforms Annex G of draft STANAG 5066. The implementation of both these `Annex G' waveforms and the The CRC. Jorgenson Mark bandwidth by Bob Johnson of new extended and variants was undertaken simulator tests, on-air trials work and analysis are all the author's own. This collaboration allowed the work presented in this chapter to be completed in a period of just some 12 weeks.
59
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
4.1
60
Waveform and Modem Processing Description
Two 16 kbps waveform variants were developed and implemented on Pentium PCs running the QNXTM [QNX, 80] real time operating system. An inexpensive sound card was used to provide the audio interface to the radio. The 16 kbps modem waveforms used in this study are developments of the high data rate waveforms specified in Annex G of STANAG 5066. The new waveforms have been designed to exploit the 6 kHz of bandwidth available in some HF channel allocations. Like the Annex G waveforms, they are serial tone waveforms which have been designed to be as efficient as possible to achieve high throughputs One of the 16 kbps variants uses the 6 kHz channel bandwidth as a contiguous single side-band (SSB) while the other has been designed for use with ISB radios and operates in an independent upper/lower side-band configuration. The only significant difference between the two implementations is in the final modulation stage. The 6 kHz SSB implementation uses a single 3300 Hz sub-carrier modulated at 4800 symbols/s while the ISB implementation employs a modulation rate of 2400 symbols/s which is applied to two ISB sub-carriers, each centred at 1800 Hz within their respective audio sidebands. The ISB implementation takes the data stream at the output of the interleaver (or bits 16-QAM is interleaver to if symbol passes employed) and alternately no codec generators for each of the sub-carriers. The frame structure used by both the SSB and ISB waveforms is shown Figure 4-1. An initial 240 symbol preamble is followed by 48 blocks of alternating data and known by followed is data 16-QAM 282 block, a data Each symbols, of consisting symbols. 204 blocks, 48 After data. known symbol 31 a symbols of mini-probe consisting of (`sync-on-data'), late facilitate is initial to acquisition preamble reinserted subset of the Doppler shift removal and sync adjustment.
60
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
61
F'::1 Initial SynchronisationPreamble 240 symbols -
I
Data block - 282 symbols
Mini-probe 31 symbols of repeated 16 symbol Frank-Heimiller polyphase code
4
Regularly re-insertedpreamble 204 symbols -
Figure 4-1 16 khps Modem U'avetorm Structure The data blocks, using the 16-QAM constellation long to provide the efficiency
points shown in Figure 4-2, are very
required for high data rates. The 16-QAM constellation
used has been designed to provide a good peak-to-average ratio while retaining the good Gray-coding
square 16-QAM constellation.
properties of the traditional
The probe segments, which follow
each of the data blocks, consist of known symbol
sequences ([Frank, 66], [Heirniller,
67], [Frank, 68]) chosen for their good correlation
properties,
and are long enough that they can be used to derive channel estimates
independent of the user data. The forward error correction coding employed, termed a hyper-code
(HC),
is a proprietary,
high
rate,
iterated
block-code
which
offers
performance comparable to that obtained with turbo-codes. An alternative version using the rate '/2 constraint
length
7 convolutional
codec employed
in STANAG
4285,
punctured to rate 15/16, has also been investigated, but offers poorer performance than that obtained with the proprietary
code.
selectable delays of approximately Alternatively,
a no interleaving
Us
In both cases, a convolutional (short) or 6.5 s (long)
interleaver with
can be employed.
is also available. option
As a consequence of the common waveform structure used in both implementations, the ISB variant offers roughly twice the delay spread handling capability of the SSB variant This Doppler occurs as a half the spread resistance. while providing approximately With the this waveform, baud 2400 baud 4800 rates. result of on-air signalling versus 61
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
62
ISB implementation offers a delay spread handling capability of the order of slightly more than 5 ms, which is comparable with most current serial tone implementations. Alternate SSB waveforms could be designed which would increase the delay spread handling capability of the SSB variant while reducing its Doppler spread tolerance. The modem incorporates an advanced adaptive equaliser developed by Jorgenson [Jorgenson, 69] to compensate for multipath and fading imparted by the HF channel.
1 s
0.5
s
s
s s
0
s a
-as
R
s
-0.5
'
s
s
1
s «
1
-0.5
0
0.5
1
Figure 4-2 Modified 16-QAM Constellation Employed in the 16 kbps Modem
4.2
16 kbps Modem Performance
4.2.1
Performance Characterisation
Simulator HF using an
The performance of the 16 kbps modem was characterised using a validated Watterson 82] [Willink 13] [ITU, F. 1487 in described ITU-R HF et at, and type simulator as data known in baseband. A a operating at special modem test mode was used which BER in the calculated at resulting sequence was generated the transmitting modem and 6 kHz bandwidth input had of The the receiving modem. a maximum simulator used For SSB for it reasons of practicality testing the modem variant. which made suitable the ISB modem was tested using two independent simulators with the same path to was fading sideband Gaussian each The applied noise and parameters set on each. (in by the the Software in author but written was time. therefore the same uncorrelated C language) to control both the simulator and the modem in order to automatically 62
Chapter 4A Hi.gh Data Rate Modem för Extended Bandti, 'idth Channels
63
characterise the modem BER over a wide range of SNR, Doppler spread and multipath conditions using the test set up shown in Figure 4-3. USB Audio Watterson HF Channel Simulator 1
USB Audio
f
16 kbps ISB Modem (Transmitter)
16 kbps ISB Modem (Receiver) LSB Audio Watterson HF Channel Simulator 2
LSB Audio
Modem Control (PC ISA Bus)
RS232 Control
Results Data File
MS-DOS Control PC
Figure 4-3 16 kbps Modem Laboratory
C haracierisalion
All the results presented are given in terms of signal to noise ratio (SNR) in a6 kHz bandwidth
unless explicitly
stated otherwise.
The Rayleigh fading imposed by the
doublein is (26) has Gaussian the terms of specified spectral profile and simulator a sided fading bandwidth.
The modem's bit error rate (BER) performance was measured under a number of HC (zero, code configurations: modem of a number standard channel conditions with interleaving) long (zero long interleaving), and unand short and convolutional code in ISB the 4-4 a interleaving). Figure (zero modem the performance of shows coded fading flat (single in 4-5, Figure mode that Gaussian a non-fading noise channel, and Good (two CCIR in The channel 1 Hz Doppler a performance with spread) channel. imposed fading Hz 0.1 0.5 difference ms and of equal power modes with a relative time time a relative (two in with CCIR Poor modes power equal on each) and channel a difference of 2 ms and 1.0 Hz fading imposed on each) are depicted in Figure 4-6 and Figure 4-7 respectively. The multipath in a CCIR Poor channel is beyond the capability bit irreducible SSB in the error rate. of variant and results an
63
Chapter 4A
High Data Rate Modem for Ex/L'/u/L'd Bandwidth Channels
64
1 HC Long } 0.1
-ý HC None -'F- Conv Long
io
w
HC Short
Conv None
0.01
Uncoded
m
0.001
0.0001 L 6
8
10
ý, _ý 12 14
1_ \
16 SNR (dB)
18
20
_-22
24
Figure 4-4 16 kbps ISB Modem Performance in a Gaussian Noise Channel.
1
0.1
is HC Long w+
0.01 HC Short -ý- HC None -
0.001
Conv Long
Conv None Uncoded 0.0001 It
Co
N
Cfl
NN
00
MM
N
SNR (dB)
Figure 4-5 16 kbps ISB Modem Performance in a Flat Fading Gaussian Norse c manner
64
Chapter 4A High Data Rute 1/(0, y fin- Extended Bandwidth Channels -,
65
1 E
HC Long HC Short 0 1 .
ö E w m
-
HC None
-
Conv Long
--
Conv None Uncoded
0.01
0.001
ý0.0001 (p
_ Op-
ON rC
VO r-
e-
00 r
C)
CN
qNNNN
00 N
Cý M
C,4 C)
q CO
(0 ()
C) 'IT
co Cl)
SNR (dB)
t figure 4-6 16 kbps ISE Modem Performance in CCIR Good Channel 1 F--
HC Long HC Short HC None
0.1 L
Conv Long Conv None I
w :L-
Uncoded
0.01
0.001
0.0001
CO
00
O
04
'q
(O
0 04
NN 04
'q
(0 NN
00
0 CO
04 M
IT C)
(0 CO
CO M
Oý
SNR (dB)
Figure 4-7 16 kbps ISB Modem Performance in CCIR Poor Channel The operating envelope of the ISB and SSB modem configurations is illustrated in the The 4-9. Figure 4-8 in Figure BER [Arthur, 72] achieved and constant plots bps 4800 MIL-STD-188-11OA single be the performance can compared with that of STANAG kHz) in 3 the data its for high and tone waveform in Figure 4-10 (chosen rate 4285 2400 bps waveform in Figure 4-11 (chosen for its similarity in structure to that of SNR a noise with to 16 a four kbps give These the normalised are plots modem). bandwidth of 3 kHz for constant BER of 10-3. 65
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
.
66
CÄ
f;
50 45 40 35 m 30 25 20 15 co 10 5
> 5 4ý 3
ti 2 10
Multipath
(ms)
\
0.5
LO
AM ýý N
0p
Doppler
Spread
(Hz)
0ö
Figure 4-8 Constant BER Surface, /br 16 kbps ISB Modem (HC codec, long interleave).
Figure 4-9 Constant BER Surface for 16 kbps SSB Modem (HC codec, long interleave).
66
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
50 45 40 35 30 25 20 15 cf) 10 5
5 4 3 2 Multipath
10
(ms)
67
0.50
0°ö°
r figure 4-1 U (- onstant
tbIK
Doppler
)urjace for
Spread (Hz)
4NUU bps MIL-J I D- I n(N-I1 UA Alodem (uncoded)
50
45 40 35 m 30 25 ' 20 15 CO 10 5 0
5 4 3\ 2 Multipath
(ms) ýMv
\
0.5
1\ 0°
_.
N
U Doppler Spread (Hz)
Figure 4-11 Constant BER Surface,for 2400 bps STANAG 4285 Modem (convolutional long interleave). coder,
67
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
4.2.2
68
Rician Channel Performance
The HF simulator test results in Figure 4-12 (plotted for a constant BER of 10--',two same power modes, one non-fading, one with 1 Hz Doppler spread applied and 2 ms between the modes), show that the 16 kbps modem performance increasesmarkedl} for Rician type channels (i. e. where there is a non-fading propagation mode in addition to Gaussian fading modes). Such channels occur most frequently at HF when a surface wave component is present. The range achievable using surface wave communications is significantly influenced by the surface conductivity, and is generally at its largest for budget Link have been ITU paths. sea calculations made using surface uninterrupted loss [ITU, 6]. curves propagation wave
Even using pessimistic figures for local
interference, sea state, etc, the calculations indicate that near error free operation at km be in 400 to a maritime environment using should readily achievable up ranges 400 W. transmitter the order of and of antennas powers omni-directional conventional Previous generations of modems (particularly
designed for types) tone surface parallel
intolerant of sky-wave components and perform poorly when they wave applications are are present.
The 16 kbps experimental
degraded by is the existence of not modem
its operating region. within multiple modes
68
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
69
vý\
50 45 40
5
35 w 30 Y 25 20 15 C
4
2 Multipath
(ms)
10 5
1o 0.5
NM 0O
6
Doppler Spread (Hz)
Figure 4-12 Constant BER Surface for 16 kbps ISB Modem using HC Codes and Long Interleave under Rician Channel Conditions
4.3
On-air Trials
4.3.1
Experimental Configuration
Trials were conducted over a 170 km, predominantly East-West, path from DERA Cobbett Hill (Cove Radio) to Malvern in the UK.
At the transmit site a 10 kW ISB
transmitter (generally operated at -2 kW) was utilised with a wide-band fan dipole fed dipole At (Malvern) `droopy' tactical a antenna the antenna. a simple receive site Marconi H2550 digital receiver, operated with independent automatic gain control (AGC) for each sideband and configured to have a fast attack and medium (--0.5 s) decay time. Only the ISB configuration of the modem was tested on-air, principally because it was the configuration that provided the combination of multipath and fading tolerance appropriate to the path. The on-air trials were automated, being synchronised at each end using Navstar Global Positioning System (GPS) satellite time sources, such that a number of modern image transfer) file transfer and (BER configurations and traffic types measurements,
69
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
_0
could be repeatedly exercised. Two frequencies were utilised: 4.8 MHz during the da and 2.8 MHz during the night changing at dawn and dusk in accordance with propagation predictions obtained from ICEPAC [Hand, 85].
o0
Malvem (Receiver)
170 km'--,, Cobbett Hill (Transmitter)
Figure 4-13 Configuration for
4.3.2
Results of On-Air
'On -Air' 16 kbps Modem Experiment
Tests
Trials data was collected over a five day period in May 1998 on the Cobbett Hill to Malvern
long both HC ISB the the and short and codec path using modem with
interleaving.
A transmitter
being kW 2 representative of the used, was power of
maximum power generally available on point-point
HF links. The data was analysed in
diurnal 4-14 Figure kilobyte blocks BER (-0.5 plot shows a one calculated. s) and the The (all BER the trial the modem provided error rates of modes). overall average over below 0.1 for in excess of 80% of the day, only performing worse than this during the
for be to some used night-time period. This performance should allow the modem digital voice applications (see section 4.6.4) where high error rates can be tolerated.
70
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
-1
An inspection of ionograms collected during the trials period, showed that the principal propagation modes present were single and multi-hop F region returns with occasional, lived, periods of E-region reflections. Ionospheric support was often limited to a short very narrow band of frequencies, especially at night (often < 0.5 MHz), and this has probably had a significant impact on the night-time results. Some form of automated frequency management could be expected to significantly improve the achieved results. 40000 30000 20000 10000 0 0.1
rn
0.01
No. data blocks
-Average 0.001 -1 0
0 0
0 0
0 0
0 0
O
o
O
O
O
0000000 0000000 r--NN Time
Figure
BER
(UTC)
Hourly Average BER between Cobbett Hill and Malvern using 16 kbps ISB -1-1-1 Modem with HC Codec (histogram shows number of data points in the data set).
The data, analysed in terms of kilobyte frame (block) delivery statistics, is summarised in Figure 4-15. The plots show the percentage of frames delivered at better than or equal to the stated BER. delivered error free while to 1900 UTC).
Over a 24 hour period 32% of all received frames were (0400 day-time just 43% figure the taking results to the rose
The results show that the modem, in its current form, could not be
(assuming data kbps for 16 an acceptable communications continuous reliably used BER criterion of n
ic/th Channels
Figure 4-17 Performance of Extended Bandwidth HDR Waveforms in a Rician Fading Channel (one non fading and one dB Gaussian fading mode). -6
4.6
Application
4.6.1
Data Communications
of Extended Bandwidth HDR Modems and Networking
The results of laboratory testing and trials of the new modem waveforms described in this chapter have shown that they may be used over benign channels where adequate be SNR be The could used effectively within an received waveforms can achieved. adaptive system employing ARQ alongside other more robust alternatives to maximise throughput under favourable conditions. The most likely application are for links that high indicate Calculations Rician that paths. are predominantly over surface wave or km distances to be on sea paths suggesting up availabilities should possible over -400 data links data HF and high BLOS communications. throughput maritime uses such as inter-networking.
4.6.2
Digital Broadcasting
The potential data rates of the experimental waveforms that have been considered may be suitable for use in high quality digital HF broadcasting. They offer an alternative
75
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels high-performance serial tone waveform technology to the OFDM waveforms presentl\
being standardisedfor systemssuchas DRM. 4.6.3
Image Transmission
A good application for high data rate HF modems is the transmission of imager%. Pictures (of the order of 160 Kbytes when compressed) were successfully transmitted image HF compression and coding techniques [Chippendale. 87] and the using robust 16 kbps modem in -90 s.
4.6.4
Range Extension for Line-of-Sight Radio Networks
A possible application of high data rate HF modems is for providing beyond line-ofsight (BLOS) range extension to V/UHF tactical communications networks (e.g. tactical military networks). therefore the traffic
Often, these existing links are relatively high BER bearers and that uses them is appropriately resilient.
An example is
continuously variable slope delta-modulation (CVSD, [Proakis, 14]) vocoders that are able to operate acceptably with BERs up to -20%. The use of 16 kbps HF for extending for CVSD technical the networks, while not an optimal solution, obviates need existing trans-coding between CVSD and low data rate vocoders such as LPC- 10 [NATO, 88] which is, of itself, a technically challenging task.
4.6.5
Maritime
Situation Awareness
Having established that extended bandwidth HDR modems can be expected to operate high is in a application well a maritime propagation environment one possible between data platforms. throughput system to allow the sharing of situation awareness Traditional military systems achieve this at HF using NATO Link-11 which has a 16, Link NATO provide line-of-sight throughput of -2.2 kbps whilst systems, such as There kbps. applications. 16 civil in many also are throughputs minimum excess of of
4.7
Modems HF HDR Bandwidth Standardisation of Extended
high of The work presented here made a direct contribution to the standardisation in MIL-STDISB) kHz 6 (i. throughput modem waveforms for extended bandwidths e.
76
Chapter 4A High Data Rate Modem for Extended Bandwidth Channels
--
188-1l OB [DOD, 2]. This standard is a major new release of an internationally applied HF modem interoperability standard.
4.8
Chapter Summary
This chapter has described a novel high data rate 16 kbps prototype HF modem. Unlike designed for in HF kHz 3 it in operation modems standard allocations extant operates an kHz 6 (either bandwidth SSB ISB). The ISB variant employs of contiguous or extended diversity between from Results HF that the signal exploits sidebands. architecture an have been The testing the and on-air of modem presented. measurements simulator high data have been limitations discussed of such rate modems suggesting performance they have application to surface wave and benign HF Skywave channels. The work in for higher throughput to the waveforms use standardisation of presented contributed fielded communications applications and demonstrated the value in exploiting ýýider bandwidths for HF radio applications.
The following chapters present new work on
digital HF radio architectures capable of supporting wideband and multi-channel transmission and reception.
77
Chapter 5 On the Specification and Design Digital HF Radios of
-N
Chapter 5.
On the Specification and Design of Digital HF Radios
For
many
years
multi-conversion
in high performance
dominant
radio communication
Recently, with the development and digital
converters
has
digitisation Sophisticated functionality
super-heterodyne
of affordable
signal processing
become
increasingly
implementations, in programmable
having
designs
receiver
systems (particularly
high performance
(DSP) technology, popular increasing
proportions
at HF).
analogue-to-digital
intermediate
[Wepman,
devices (programmable
have been
89],
frequency
[Brannon,
90].
of the radio/modem
logic devices (PLDs) and DSP
processors), are commonly termed software defined radios (SDRs). The ultimate goal is radio [Mitola,
the true software
91] in which the signal captured at the antenna is
digitised and processed entirely digitally field is developing implementations software
radios.
rapidly. that
in programmable devices. Technology in this
In reality there is almost a continuum of possible receiver
range from
The essential
conventional
analogue
features of these different
implementations
to true
classes of receiver
is
summarised in Figure 5-1.
"
Conventional -
" g x°)
LL cm c rn
Receiver:
Traditional all analogue receiver (RF to baseband) Commonly a super heterodyne architecture
Digital Receiver: -
Traditional analogue receiver RF front end Baseband or final IF narrow-band digitisation Digital signal processing (DSP) for filtering, demodulation etc Digital control of analogue sections
Software Defined Radio: Digital receiver, rapidly re-programmable to support different waveforms Waveform processing undertaken digitally, mainly in programmable devices
" True Software Radio: -
Wide-band digitisation 'close to the antenna'
-
digitally done baseband processing down-conversion, Channel selection, ASICs) FPGAs, fly' (using the 'on software, Highly re-configurable
-
Multi-mode,
-
multi-channel,
multi-band
Radio Softtivare Receiver io Analogue Figure 5-1 From Conventional
78
Chapter 5 On the Specification and Design of Digital HF Radios
79
Work presented in the previous chapter identified the need for radios capable of wideband and multi-channel operation to support higher throughput HF communications. This chapter provides a brief resume of the technology developments that are making software radios possible. The relative merits of a number of possible wideband receiver architectures are considered. Performance requirements for an HF dictated by the HF environment and the intended application, are studied in as receiver, detail. Results of work to characterise a high performance single channel some conventional super-heterodyne HF receiver are presented in Appendix C to help establish the current `state-of-the-art'.
The work described in this Chapter presents a
digitisation approach, applicable to HF, where the whole band (2new whole-band 30 MHz) is digitised and DSP algorithms are used to select, down-convert and demodulate signals of interest. Potential benefits of such an approach include: 9
reduced complexity and lower component count;
0
simultaneous reception of multiple signals;
0
programmable channel bandwidth (support for wideband channels):
0
software re-configurability; and
0
for high performance. potential
The predicted characteristics of a practical implementation of such a receiver are investigated in detail. Finally, an alternative wideband architecture employing a single the is with compared the predicted complexity/performance conversion proposed and direct sampling approach.
5.1
Applicable Technology Developments
Traditionally, a great deal of new radio communications technology was a result of developments However, are in new research support of military requirements. increasingly a result of the rapid progress being made to support the commercial sector. industry (PCS) In particular, the rapid growth of the personal communications systems base-stations small, and field develop its multi-standard new and with need to rapidly low-cost handsets is of note. Examples of the critical technologies that are enabling new radio architectures include:
79
chapter 5 On the Specification and Design of Di ital HF Radios
80
0
High performance analogue-to-digital converters (ADCs) and digital-to-anal oý`ue (DACs); converters
"
Low-cost digital up-converters (DUCs) and digital down-converters (DDCs) in the form of application specific integrated circuits (ASICs);
"
High speed, high capacity RAM based field programmable gate arras (FPGAs) and sophisticated development tools;
0
High performance general purpose DSP devices;
"
Improved RF devices (e.g. Monolithic Microwave Integrated Circuits, MMICs). and
0
New families of devices (e.g. miniature electro-mechanical structures, MEMS).
5.2
Wideband Digital Radio Architectures
There are a number of basic architectures applicable to HF receivers and also a number hybrids. of
These primarily
include super-heterodyne receivers, direct conversion
(zero-IF) receivers, single conversion (sub-harmonic) IF-sampling receivers and direct in digital Each these of are considered turn. sampling wideband receivers.
5.2.1
Conventional Super-Heterodyne Receivers
The architecture of a typical three conversion super-heterodyne (superhet) receiver is depicted in Figure 5-2. Signals applied to the antenna input are first filtered to remove tuneable They then (known a mixed with are pre-selection). as out-of-band components 81.4 frequency intermediate first (e. local g. synthesised oscillator signal to a common The selected signal is filtered, generally using crystal or designed is to bandwidth the filters, receiver to the mechanical maximum channel is (AGC) by circuit, handle. Amplification, controlled an automatic gain control in HF MHz 1.4 (e. frequency IF receiver) 2nd an is The g. to then a applied. mixed signal bandwidth. final filtering to the required where there is a further AGC amplifier and digital Narrow-band receiver baseband The final mix produces the output signal. MHz in an HF receiver).
hybrids may employ final IF or baseband digitisation.
80
Chapter 5 On the Specification
RF
Ueiigfn of Digital Hj, Radius (111(1
1st IF
(J
2nd IF
Baseband
ol
R
000.
0
L------------Synthesiser
Frequency
Standard
Figure 5-2 A Super-Heterodyne Receiver Architecture. IF stages are used because it is difficult
Multiple
to provide sufficient
(>_l 10 dB) and gain (up to 100 dB) at any single frequency without A high quality
occurring.
(typically
selectivity
signal leakage
synthesised) tuneable local oscillator
(LO) is
required to allow tuning to the frequency of interest in addition to fixed I, Os for the subsequent mixing stages. In order to prevent frequency errors all the local oscillators are normally
phase locked to a single frequency standard.
In most designs, limited
dynamic range at each stage necessitates the use of a complex AGC system to preserve receiver performance. receiver are generally
Whilst
excellent performance can be achieved, these types of
limited to receiving a single (normally
narrowband) channel at
design have high to time, and a component count. any one are challenging
5.2.2
Direct Conversion
In the direct conversion ('Zero signal directly 5-3).
to complex
IF') receiver a quadrature mixer is used to convert the
baseband where it can be amplified
and digitised (Figure
In theory this process results in perfect cancellation of the image signal.
potential advantages of this architecture simple
Digital Receiver
(Zero-IF)
filtering
requirements
in the signal chain,
in image the superhet. than suppression and easier
However for HF use, a direct conversion capable of tuning
include low complexity
The
high quality synthesiser a receiver requires
MHz) four (2-30 to octaves over close
and providing
accurate
is Such complex and offsets potential simplifications quadrature outputs. a synthesiser balance dependent the is on Further, performance critically achieved elsewhere. hybrid implemented as a single achieved within the quadrature mixer; normally imbalances will Any phase or 90° amplitude (including the component phase shifter). result in imperfect cancellation of the image.
81
Chapter 5 On the Specification and Design of Digital HF Radios
RF
m
82
Zero IF
Digital
lool, ,
40 1[
ADC Baseband Processor
0ý
Q ADC
-0-0-0010-90''
Synthesiser cos(2nf t)
Figure 5-3 Direct Conversion
'Zero IF' Receiver Architecture
It can be shown [Razavi, 92] that the image suppression (image rejection ratio. IRR) provided by a mixer with an amplitude magnitude unbalance
deviation of a phase -and
0from 90° is given by:
IRR=10lo
The implications
11_2(1)c0s0+(1+t)fl gýý 1+2(1+c)cos8+(I+c)'
dB
(j_1)
in demonstrated in imbalances amplitude and phase are of even small
the plot of IRR in Figure 5-4. Good, commercially
available, quadrature mixers might
dB 1° 0.1 balance respectively. and of typically guarantee an amplitude/phase dB of rejection. provides -40
This only
This is a particular problem for use at HF frequencies
in-band. be frequency image the may well where due This to DC amplitude is occur can Another particular problem the so-called offset. breakthrough due LO which to signal in It ADCs. or strong the can also occur offsets 94], Beach, 93; Rooyen, [van which DC hence in component a results self-mixing and lies right in the centre of the wanted complex basebandsignal.
82
Chapter 5 On the Specification and Design Digital HF Radios of
83
0
-10
40dB 2.0 dB
-20 10dß
05dß ö -30 025
ä
dB
c
J -a0
0.1 dB
E 005
dB
-50
O dB -60
70
of
i Phase
Higure )-4
Deviation
10 (Degrees)
image suppression in a Quadr(itrire direr .
Due to Aml)littrcle and Phase Imbalance
Correction techniques [e. g. Yuanbin, 95] can be applied to correct both the DC offset and mixer imbalance using a reference signal to measure the error and then to apply a correction to the IQ signal once digitised. cancellation, particularly
However it remains difficult
across wide bandwidths.
to ensure perfect
The problem of DC offset correction
is further exacerbated when receiver (or environment) motion causes a time dependency requiring continuous adaptation.
Practical direct conversion receivers have been demonstrated at HF. They are, however, fundamentally single-channel narrowband receivers.
5.2.3
Super-Heterodyne Receiver with Zero-IF Conversion
A hybrid HF receiver architecture (Figure 5-5) has been proposed by Coy el al [Coy. 96].
This employs a conventional
tuned synthesiser and heterodyne mixing stage to
fixed A be filter Ist IF to quadrature received. reach a selects the signal where a roofing down-conversion
stage, followed
required selectivity.
by quadrature
This narrowband
architecture
digitisation
has the advantage that whilst the
same IQ balance problems exist as in the direct-conversion overcome because only a single narrowband
is used to provide the
IF-frequency
receiver they are easier to be to considered. needs
A
83
m
Chapter 5 On the Specification and Design of Digital HF Radios
84
high performance digital receiver based on this architecture has been implemented b\ Coy and shown to give good results. However, it is fundamentally a single channel. narrowband receiver. RF
1st IF
Zero IF
Digital
00, ADC Baseband Processor
1100ADC 90
Synthesiser cost2af hA
Fixed LO
Figure 5-5 Super-heterodtivne with Zero-IF Stage
5.2.4
Single Conversion
Another possible architecture single conversion followed to directly down-convert ADC may be followed
IF-Sampling
Receiver
is a hybrid of the superhet receiver which relies on a
by filtering
and bandpass sampling (sub-sampling) of the IF
the IF to baseband. In a wideband multi-channel
receiver the
by a bank of digital receivers to recover a number of wanted
channels (Figure 5-6). The choice between single or multiple provide high selectivity
conversion
is primarily
images. to and reject mixer
related to the need to
In a receiver with narrowband
LO. In be tuneable a a required, requiring sampling multiple conversions will generally wideband receiver capable of whole-band digitisation,
filter both the pre-selector since
(before the mixer) and IF filter can be used to provide the required selectivity ahead of the ADC single conversion is sometimes possible.
In this case a single, fixed LO can be
employed. At least one conversion is required in higher frequency receivers (currently UHF and banddirect is limited bandwidth because and so prevents the ADC analogue above) for HF be to an If used this architecture were pass sampling at the signal frequency. direct its sampling a receiver with a single up-conversion only potential advantage over IF be RF an at applied gain can approach (discussed next) is that the majority of the frequency chosen to ensure amplifier harmonics will fall out-of-band. Disad\ anta-es
84
Chapter 5 On the Specification
and Design of Digital HF Radios
X5
include the additional analogue circuitry
required (LO. mixer and filter) and the associated non-linearities that they introduce. RF
1st IF
Digital
ADC
Digital Down Converter
Baseband Processorr
Digital Down
Baseband Processor
Converter
Digital Down Converter
--
2
Baseband Processor
Figure 5-6 Single Conversion IF-Sampling Receiver
5.2.5
Direct Sampling
A direct sampling digital dynamic
range ADC)
Wideband
Digital Receiver
receiver digitises the RF input signal directly (using a high
and then processes these signals digitally
(Figure 5-7).
The
input feeds filter antenna a which acts as a pre-selector and as the anti-aliasing filter for the receiver digitiser.
This is followed by an RF amplifier with digitally controlled gain.
As will be shown later, the overall dynamic range requirements of an HF receiver are so large (-140 dB) that it exceeds that of any currently 90+ dB).
The gain control
environment,
the receiver's
ADC is never saturated.
ADC
devices (typ.
is therefore required to ensure that, in a changing signal instantaneous dynamic
range is maximised
but that the
In a narrowband receiver AGC action is continual, primarily
tracking the power of the wanted signal (which additional unwanted modulation the adaptation
practical
in a fading channel can result in
on the received signal).
In this wideband architecture
is in response to the total energy present in the band (i. e. many
uncorrelated signals).
It would therefore be expected, in most circumstances, to require
longer). (possible timescale the or of minutes on adaptation at a much slower rate
To capture the whole HF band (2-30 MHz), the ADC digitisation rate would have to be in excess of 60 mega-samples-per-second (MSPS). All subsequent processing can be done in the digital domain including signal selection (filtering), frequency translation (down-conversion) and sample rate decimation.
The high processing rates of these
functions indicate that they should be implemented in (programmable) DDC ASICs or
85
Chapter 5 On the Specification and Design ofDigital HF Radios
86
PLDs. possibly
An arbitrary number of channels can then be extracted by using functions fed DDC from the single ADC. Great flexibility multiple over reception frequencies (fixed, sweeping or hopping), channel bandwidths, digitally applied gain. Finally, in possible. are as etc all the other architectures, general purpose DSP be for the relatively low rate basebandsignal processing (including may used processors functions such as signal demodulation, AGC etc). RF
Digital
1 ADC
t_
Digital Down Converter
Baseband Processor
º
Digital Down Converter
Baseband Processor
º2
Digital Down Converter
Baseband Processor
ºn
RF Gain Control_
Figure 5-7 Block Diagram of a Wideband HF Digital Receiver and, in particular,
ADCs and DDC ASIC
An investigation
of component
implementations
suggest that a high performance HF receiver with this architecture may
be practical for the first time.
technology
This thesis will go on to consider an HF receiver design
detail. in this with architecture much greater
In the next chapter results are given for a
prototype receiver of this type.
5.2.6
Architecture
for a Wideband Digital Transmitter Exciter
A complimentary, wideband, direct sampling architecture can be contemplated to fed to baseband Complex implement a multi-channel digital transmitter. signals are DUCs. The DUC output, interpolated up to a sampling rate appropriate for the RF RF The (DAC). resulting output frequency, is applied to a digital-to-analogue converter high A (PA). signal is amplified to allow it to drive (excite) a suitable power amplifier harmonics (aliases). DAC filter filter is to remove roll-off used as a re-construction
86
Chapter 5 On the Specification
and Design of Digital HF Radios
Baseband In 1
Baseband Processor
Digital Up Converter
Baseband In 2
Baseband Processor
Digital Up Converter DAC
Power Amplifier Baseband Processor
Baseband In n
Digital Up Converter
Figure 5-8 Block Diagram of a Wideband Digital Transmitter
5.3
HF Receiver Performance
The performance environment
requirements
investigated and are
of
Requirements
HF receivers
are largely
in the following
sub-sections.
governed
by the HF
These are compared
by high typical the provided a performance quality conventional receiver providing with implementations HF be baseline against new software radio which can evaluated. a The performance
characteristics
of a commercial
high performance super-heterodyne
HF receiver [Racal, 1041 have been measured to provide a comparison against which
described be The are measurements and results assessed. alternative architectures can in Appendix C.
5.3.1
Sensitivity
The sensitivity of a receiver is a measure of the weakest signal that can be satisfactorily limiting thermal is demodulated. This noise the to equivalent related often received and by: 97], [Fisk, input the the given system power at of
Thermal Noise Power = 10 log,,, (kTB)
dBW
(5-2)
where k
is Boltzmann's constant (1.38x10-'13J/K);
T
is the system temperature in degrees Kelvin: and
B
is the system bandwidth in (Hz).
87
Chapter 5 On the Specification and Design of Digital HF Radios
88
Noise figure (NF) is a standardised measure of a system's noise level aboýe the available thermal noise power. For a standard temperature, Ti., of 290 K the noise floor is of a system thus: NoiseFloor = NF + 10logo B -174
dBm
(5-3)
Reception in the HF band is often externally noise limited due to galactic, atmospheric is This illustrated in Figure 2-10 which shows the effective noise. man-made or different these noise sources, above thermal, in the HF band. contribution of In order to always be externally noise limited an HF receiving system, located at a quiet higher the and operating site at receive end of the band, should have a noise figure of This is equivalent to a noise floor of dBm/Hz dBm 13 or a signal -158 -1 dB in 10 SNR a standard 3 kHz bandwidth. As can be observed from the providing
>f) inter-modulation
distortion (IMD)
Suppression and SFDR
are applied to a non-linear device,
signals are generated [Fisk, 97]. The most significant
3t2 2/1-/2 f 2f:,, (3/], (2f ±f) third and the order products and are second order products j, 2f2-fi).
The third order inter-modulation
distortion
(IMD)
products, are of particular
level in increase decibel for by dB the test increase 3 because the of they every concern tones.
The input referenced third order intercept point (IP3IN) is the notional input
by level level the IMD produced the outputs as same signal products are at at which the the wanted tones. High quality conventional (+30 dBm is considered excellent).
HF receivers have an IP31Nof >_+20 dBm
By measuring the IMD (dBc), produced by two
D Appendix determined (see be IP31N (dBm), can equal power input tones of power PIN and [Kundert, 101]):
IP3I, _ IMD + P1 dBm %, 2
(5-5)
93
Chapter 5 On the Specification and Design of Digital HF Radios
94
Many manufacturers specify IMD performance in terms of the third intercept point referenced to the output of the device: IP30UT. Where the gain of a receiver is G. the intercept point referenced to the input and output of a receiver are related: IP31N =1P3OUT -G
(5-6)
Spurious free dynamic range (SFDR) is commonly defined as the signal input range from the noise floor to the largest signal level that will not generate 3`d order spurious floor. In an analogue receiver SFDR can therefore be defined that noise above products follows: as SFDR =3 {IP3,
logo BNF 174 + N -10
dB
(5--)
dBm
(5-8)
free input the maximum spurious signal level, P,,,,,,,: and P, =1 [2IP3, + 101og B+ NF -174 N io n A3
kHz bandwidth receiver with a 14 dB NF and +25 dBm IP31Nthus has a SFDR of
100 dB. During the practical work undertaken for this thesis the importance of 2"d order IMD important became increasingly They is ignored, clear. are an often performance, which because frequency higher (as in the HF to systems) opposed equipments consideration filtered be be fall in-band to they out subsequently may not able where products can (e.g. in a receiver front end). Amplifiers or mixers in conventional receivers, protected by narrowband filters, are largely immune to these 2"d order products because the frequency in they that interact them to removed are sufficiently cause signals that would are rejected by filtering.
Hence they may have high 2°d order intercept points ( IP21 ).
However components subject to wideband signals, such as front-end RF amplifiers and °d IMD 2 and products first in to order the producing mixer a receiver are vulnerable IP21 frequency. harmonics that may fall within the bandwidth of the selected receive N is given by (see Appendix D): IP21N -- PIN + IMD
dBm
(5-9)
been has analysed using The relative impact of 2d and 3`d order IMD products b\ IMD generated level products 5-13 the of Figure (5-5) shows equations and (5-9).
94
Chapter 5 On the Specification and Design o Digital HF Radios
95
two input signals as a function of the input signal level for a range of IP2/\ and IP31\ . The graph demonstrates the importance of considering both IP21, and IP3,, to achieve an acceptable overall level of performance.
High performance HF receivers
have IP21 >_+60dBm (>+70 dBm is considered typically will excellent). ,
-20 IP2IN=+40
-40
dBm
-
-IP21N=+50 dBm
--
IP21N=+60 dBm
--
IP21N=+70 dBm
---
IP21N=+80 dBm
/ /
IP31N=+0 dBm -60
o
-IP31N=+lOdBm
--
IP3IN=+20
--
ä
r-
-
-IP3IN=+30
/
dBm
r '/
/
f,
/
dBm
/
,'
-80
0
` -100
ý/
-120 ? ý5 140 lo -50
Ficure
/
-40
ý/
/
I
ýf
"' , NF=16, Receiver noise floor (3 kH z b andw idth )
A'
/// -.-
/
f
.
ý.
e 'O '
-20 -30 Two Tone Input Signal Power (dBm)
13 2"d and 3rd Order Intermodulation -5-
-10
0
Product Levels versus Two Tone Inpu, Power
Harmonic suppression (particularly of 2d and 3`d order harmonics) is also particularly important within the front-end of an HF receiver. This is becausethe HF band spans The in-band. fall MHz 15 will almost four octaves and so harmonics of signals up to The for IMD. to extent those to for harmonic suppression are equivalent requirements For design. function example is circuit harmonics of a much which are suppressed very harmonic 2"d designed be to effective provide may components such as amplifiers linearisation 102 [Dye, or p114] cancellation (e.g. using a push-pull architecture techniques).
95
Chapter 5 On the Specification and Design of Digital HF Radios 5.3.5
Practical
Impact of Receiver Intermodulation
96 Products
The discussion above has focused on the level of IMD product suppression achievable within receivers. The impact of intermodulation products on practical communications further consideration. requires some
Given a particular receiver performance, the harmful IMD products can be shown to be a of presence probabilistic function of the number of signals in the HF band with sufficient power to generate them and whether the frequencies of those signals are such that a product will be in-band of the anted transmission [Miller, 103]. Given sufficient information on the occurrence statistics of (frequency, in the HF band, such an argument can be used to determine power) signals the required dynamic range for an acceptable probability of being IMD free. The HF occupancy studies undertaken by Gott [e.g. Gott, 30] may be applicable for such an it is although not clear whether measurement data on the strength of signals analysis above a threshold of 100 µV/m (the highest threshold available in their published occupancy models) was retained.
5.3.6
Spurious Signal Products
In addition to IMD, receivers are also subject to other internally generated spurious signals such as unwanted mixer products, local oscillator leakage, harmonics etc. Typical receiver specifications call for >99% of 3 kHz channels to be free of spurious above the noise floor.
5.4
HF Transmitter
Performance Requirements
A signal to be transmitted must be adequately filtered to constrain its bandwidth: this is typically specified such that >99.9% of the power is contained in the allocated bandwidth (e.g. [ITU, 105], [NATO, 106]). Unwanted emissions (IMD, harmonics etc) for harmonic to be (minimum) outputs Typical are must also requirements minimised. in be -40 dBc and IMD the transmitting system dBc. Wideband generated noise -65 the does it sensitivity be kept level low compromise that not to must such a sufficiently dB 40 have a gain of of nearby receivers. A typical 500 W power amplifier might in input its a result would is large thermal at noise that even which sufficiently transmitter noise power of -134 dBm/Hz (-99 dBm in 3 kHz). In situations where a
96
Chapter 5 On the Specification and Design of Digital HF Radios
9-
HF transmitter exciter feeds a wideband power amplifier (PA) little or filtering be can applied and PA specifications are particularly onerous. no additional
multi-channelling
5.5
A Direct Sampling Digital HF Receiver
The following
sections presents a novel direct sampling wideband digital HF receiver and analyse the performance
architecture
expected to provide.
that a practical
implementation
may be
The next chapter presents measurements made on a prototype
digital transceiver which is presented in as a part of a wideband constructed receiver, Chapter 7. performance.
This
chapter concentrates
on the characteristics
and likely
Figure 5-14 is a diagram of the architecture investigated.
sections consider the performance
attainable
The following
of each of the key components of the receiver and
then its overall performance. Front End Filter
RF
In
Digital Attenuator
Digital Ane
Digital Control
RF Amplifier
º
ADC
Digital
Complex
Down
Baseband
Converter
Output
Digital Control
Figure 5-1-1 Wideband Direct Sampling Digital Receiver
5.6
Front End Filter
high digital the direct required The front-end filter provides the receiver with sampling lightning It secondary filtering provides Nyquist also to aliasing. prevent order
from over-voltage and over-current. protection and protection
97
Chapter 5 On the Specification and Desiew of Digital HF Radios
1st Nyquist Zone (Wanted Signal)
a
98
2nd Nyquist Zone (Aliased)
/
Useful Rejection
Frequency 0
fý
F/2
FS- fc
Figure 5-15 Front End Anti-Aliasing
F
Filter Performance Requirement
The choice of filter cut-off frequency is made such that, taking the filter's transition into consideration, no signals beyond the cut off frequency will cause in band region in (illustrated Figure 5-15). If the normalised transition ratio of the filter aliasing (lowest stop-band frequency divided by highest pass-band frequency) is CO, and making use of the symmetry of the aliasing process, then the relationship with the maximum unfrequency, f, is by: given receiver aliased F, - ýý < fc
f
(5-10)
PASS
where F,
is the digitiser sampling rate.
The minimum acceptable filter performance is therefore given by: F. w=-` -1 fl
(5-11)
The low pass filter is required to ideally provide 120 dB of attenuation for signals Whilst this limit in band the performance. receiver's outside the operating order not to is an apparently challenging requirement it is essentially the same requirement as that of limitations However, HF receiver. the image reject filter in a conventional narrowband in the maximum sampling rate of the ADC may impose an additional requirement to implement. is to band achieve a narrow transition challenging which
98
Chapter5 On the Specificationand Design of Digital HF Radios 5.7
Digitally
Controlled
99
RF Amplifier
The digitally controlled RF amplifier is required to provide sufficient gain to match the dynamic signal range with that of the ADC. It will be shown (in the next received dynamic the that range obtainable from currently available ADCs is insufficient section) to fully meet the needs of an ideal HF receiver. This limitation is analogous to the blocking performance in conventional narrowband receivers and it will be shown that (indeed equal) performance to a high quality narrowband receiver can be comparable achieved. The RF amplifier
in a wideband
receiver must have a noise figure low enough to
provide the required receiver sensitivity harmonic and IMD suppression.
and sufficient
Harmonic and 2nd order IMD is a particular concern
for HF receiver front-ends as, being multi-octave,
many of these products will fall in-
band. The proposed architecture employs a digitally by a fixed gain amplifier. amplifier
be tolerated can
linearity to provide acceptable
At HF the insertion
controlled RF attenuator followed
loss of the attenuator ahead of the
and has a number of advantages.
In a strong signal
environment, where the signal may have to be attenuated in any case (to match the ADC dynamic range), increasing front-end attenuation reduces IMD and harmonic products (increasing the effective receiver intercept points).
5.8
Analogue-to-Digital
Converter (ADC) Performance
The performance that a wideband digital receiver can achieve is highly dependent on key This the digitiser (ADC). characteristics considers the performance of the section done to digitiser quantify determine work that summarises and performance achievable HF digital in receiver be wideband the performance that can practical a achieved implementation. 14ADC high with The Analog Devices AD6644 [Analog, 107] is a new, performance in been has device This used bit precision and a maximum sampling rate of 65 MSPS. following The analysis and in the prototype digital receiver presented the next chapter. illustrated is using discussion of practically achievable digitiser performance information on the AD6644's characteristics.
99
Chapter 5 On the Specification and Design of Digital HF Radios
5.8.1
100
ADC Signal-to-Noise Ratio (SNR) Performance
When an analogue signal is sampled by a digitiser with finite quantisation inter\ als it be shown that the achievable signal-to-quantisation noise ratio (SQN R) is can readily Proakis, 108 by [e. p37]: g. given 3.22N
SQNR(dB) =10log, o 2
1.76 6.02. \' + =
ADC bits. is N For 14-bit the of number a converter, such as the AD6644, this where dB is bound SQNR; theoretical which a t86 on ADC SNR. gives that a practical ADC
device can achieve is principally
dynamic non-linearities performance, jitter. clock aperture
(DNLs)
The maximum SNR
limited by its analogue noise
in the conversion process and sampling
Equation (5-12) can be modified to include their impact [Analog.
107]:
z SNR(dB) = 1.76 - 20 10910
(2; N+
cF tý, s +v
where FA
is the analogue input frequency;
týrm. s
is the ADC sampling clock aperture jitter;
6
is the average DNL of the ADC (-0.41 for AD6644);
bjtt,
for AD6644); and in LSBs (-1.2 ADC is the equivalent RMS thermal noise
N
is the number of ADC bits.
figure: into The SNR of the ADC can be easily converted an equivalent noise logo SNR(dB) (dBm) NF1,,, (dBm) = P,. -10 ,, ßu1 (.
+ 174
(5-1-1)
where NF4(.
is the ADC noise figure; and
PEU/Isca, is the ADC full scale input power. eR15
100
Chapter 5 On the Specification and Design of Digital HF Radio s
5.8.2
101
ADC Noise Performance and Noise Figure
Equation (5-12) gave a bound on achievable SQNR determined purely b} the number of ADC quantisation intervals (SQNR,,zz86dB for a 14-bit converter). A more practical ADC SNR is the to consider the ratio between the largest input achievable of measure internally floor ADC. This may be written: the the generated noise and of signal V.
SQNR(dB) =1.76 + 20 log,,
rullscale_ADC
VHase
The internal noise generated within the AD6644 is equivalent to 1.2 least significant bits (LSBs) peak-to-peak thus the maximum achievable SQNR is: 2 14 SQNR(dB) = 1.76 + 20 log 10 2 '' =78.8dB
5.8.3
(5-1h)
Sampling Clock Jitter (Phase Noise)
When an analogue signal is sampled by an ADC any variation in the instantaneous instant will sampling
translate directly into a change in the quantised amplitude
from instant in The the in 5-16). Figure sampling (illustrated small random changes have jitter' `aperture `aperture a can and termed or uncertainty' are sample-to-sample impact ADC performance. on marked
101
Chapter 5 On the Specification
and Design of Digital
HF Radios
102
A A
Aperture Uncertainty (Jitter) At
Do-
-4
Encode Trigger
Figure 5-16 Error in SamplingAmplituie Given a sine wave of frequency,
F,
Due to ADC Aperture L icertainh" (Jitter)
its voltage is: , v=A
(5-I-)
sin(2TrF, l )
The gradient (slew rate) is given by the first derivative:
dv dt
A2, TF, cos(2;TF,t) =
(5 18)
At the nominal sampling instant, t=0, the signal slew rate is given by: Ov
dv
At
(It
A2/TFa, =
t=0
(5-19)
The error voltage at the sampling instant is the jitter, t,, multiplied by the signal slew rate
V//?/Ox At
tniix
t rFI =A2;
(5-20)
By considering a full scale input waveform it is then straight forward to "rite the jitter: RMS due to sampling theoretical SNR limitation imposed on the ADC
102
Chapter 5 On the Specification and Design of Digital HF Radios SNR = -20log,
)
t 1(2rc-,
103
dB
(5_21)
This is an important result. In particular it should be noted that the available SNR is limited not by the ADC sampling rate but by the frequency of the signal being sampled jitter. The jitter is due to that present on the total the sampling overall and sampling clock (oscillator)
and to aperture uncertainty
within
the ADC itself.
For the 14-bit
AD6644 ADC the nominal SNR is 75 dB (F5 0
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Receiver HF Sampling Direct Table 5-2 Predicted Performance of a
116
Chapter 5 On the Specification and Design of Digital HF Radios
5.11
An Alternative
11
Single Conversion Wideband Receiver
Architecture Given the demanding 2nd order IMD and harmonic performancerequirementin the direct a of
sampling receiver an alternative architecture «orthy of is consideration one employing a single, whole band up-conversion. Such a receiver
amplifier
its have the of majority signal gain at a wideband IF reducing the Ind order IMD would and harmonic performance requirements on that amplifier.
However. such an architecture would require additional circuit elements (mixer, IF filter) \\hich must have in linearity degrade to themselves order the receiver performance. If, in a not excellent implementation, RF is an amplifier required ahead of the mixer then its particular performance requirements are commensurate with that of the RF amplifier in the direct In such a case the single conversion approach is unlikely to provide approach. sampling benefit. any The IF frequency selected must be within the ADC's analogue bandwidth and lo\\ due SNR jitter (from to that the sampling reduction all sources) is acceptable. enough The IF following the frequency translation must be sufficiently high in frequency to designing image The both out-of-band rejection. experience of and good good provide the front-end (anti-aliasing) filter for the direct sampling receiver indicates that an IF frequency centred on -70 MHz would be practical and not be overly demanding on the sampling clock phase noise (jitter) performance. A review of the applicable literature has been undertaken to establish the performance based is the The use in on for presented analysis a receiver. such of mixers suitable use 120]). [Dexter, 119], [Cox, 118], [GEC, high (e. g. of a performance mixer 5-3, in Table is The predicted performance of a single conversion receiver shown dB. kHz)=111.3 BDR(3 dBm and namely: NF=13.4 dB, IP3IN=+22.7 dBm, IP2IN=+77.1 b) improved be In this case the performance is limited by the IF amplifier and could ith ýti amplifier an However, this require higher would using a performance alternative. give would and direct for receiver the sampling similar performance to that identified similar performance but have greater complexity. wideband whole-band digitising
for that a It is therefore concluded
HF receiver this architecture offers no significant
additionalbenefit.
117
Chapter 5 On the Specification and Design of Digital HF Radios
118
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118
Chapter 5 On the Specification and Design ofDigital HF Radios
5.12
119
Chapter Summary
This chapter has considered the implementation of wideband digital HF radios. The HF the that environment places on receiver design have been investigated. requirements The performance of a high performance conventional narrowband HF receiver has been basis for comparison. to establish a characterised The work presented indicates that it is now possible, for the first time, to construct a direct high performance, sampling wideband digital HF receiver. Such a receiver very would conceptually allow an arbitrary number of channels to be simultaneousl} front-end RF a single using and digitiser. With careful design of the front-end received filter and selection of a suitable RF amplifier, performance closely matching or even highest the that of performance single channel receivers commerciall\ exceeding be obtained. Whilst receivers employing front-end pre-selection (i. e. subcan available filters), have the potential to offer higher performance, the application of such octave filtering makes them inherently narrowband. It has been shown that in a direct sampling receiver, front-end linearity, particularly for the RF amplifier, is critical. As there is no frequency translation in such a receiver and band HF the since covers approaching four octaves the amplifier second order intermodulation and harmonic performance will have a major impact on the overall receiver strong signal handling performance.
The RF amplifier
performance
requirements have been calculated and a number of suitable commercial RF amplifiers have been identified showing that the proposition is practical. An alternative wideband receiver architecture employing a single, whole band, upconversion has been investigated and compared with the direct sampling approach. Sucha receiver would have the majority of its signal gain at a wideband IF reducing the 2ndorder IMD and harmonic performance requirements on that amplifier. However, filter) IF (mixer, which such an architecture would require additional circuit elements degrade the have receiver in themselves linearity to must not excellent order is this implementations architecture performance. It is believed that, in practical unlikely to offer any benefit over the direct sampling approach. has design that HF The following chapter presents a prototype direct sampling receiver beenconstructed and evaluated.
119
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
120
Chapter 6.
Performance of a Prototype Direct Sampling Digital HF Receiver
The previous chapter considered the requirements for high performance HF receivers and examined the characteristics of practical direct sampling receiver implementations. This chapter presents the design of a prototype receiver and measured performance from laboratory a prototype Suggestions for improvements to the results obtained design are advanced. prototype The prototype digital receiver was implemented as part of a digital transceiver x6ose is described in detail in the next chapter. This chapter concentrateson the construction basic implementation and its measured characteristics.
6.1
Description of Prototype Receiver
Figure 6-1 is a block diagram of the prototype direct sampling digital receiver that has been designed and constructed. A separate front-end protection and filtering module filtering the provides overload protection and ahead of the receiver necessary anti-alias itself. In the prototype a digitally controlled RF switch allows the receiver input to be RF by is followed between different This amplifier, gain a variable switched sources. implemented as a digitally controlled attenuator followed by a fixed gain RF amplifier. A 30 MHz harmonic and noise reduction filter minimises the level of internally digitally A digitiser. controlled narrowband the generatedout-of-band signals reaching dither source (applied below 1 MHz) is included to maximise the ADC SFDR. The digitised signal is passed to a programmable DDC ASIC which selects and domnconvertsthe channel to be received.
() 121
Chapter 6 Perfoi°mance of u Prototype Direct Sampling Digital HF Receiver
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121
Chapter 6 Performance of a Prototype Direct SamplinDigital
6.1.1
HF Receiver
12"
Front-End Protection and Anti-Alias Filter
Following experimentation with a number of prototype designs the final anti-aliasing filter implementation uses a dual stage high-order design. The first is a 7`horder elliptic frequency. Tuneable ferrite-cored inductors are used to 28 MHz corner LPF with a loss, pass-band corner, and transition region to be optimised. The insertion the allow LPF, 9th fixed filter, inductors for their order elliptical makes a use of air-cored second high Q. These were found to give the greatest overall attenuation and to minimise rollfact In large inherent frequencies. bandwidth the higher RF analogue the of at up for MHz AD6644) (250 in for ADC results a requirement a filter that amplifier and beyond 500 MHz. The its well measured performance of the performance maintains filter is shown in Figure 6-2 (selectivity), Figure 6-3 (group delay variation) and Figure 6-4 (input/output impedance matching). Whilst the filter selectivity was generally found to be satisfactory (approaching 120 dB) it would benefit from additional work to reduce the insertion loss at the top of the HF band and to improve its VSWR.
122
Chapter 6 Performance ofa Prototape f)/r ct SýnýtýliýýýrUirilý, l lnf Recc-ivL7
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30
40
50
60
70
80
90
100
Frequency (MHz) 0 -20 0) 0 C
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200
300
400
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Figure 6-2 Measured Selectivity ofCombined 28 MHz Elliptic Low Pass Filter
0.5
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10
15
20
25
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Figure 6-3 Front-End Filter Group Delay Variation
1233
Chupter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
0
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Figure 6--1 Prototype Front-End Filter Impedance Alatching
6.1.2
Gallium Arsenide (GaAs) MMIC RF Amplifier with Digital Gain Control
This section discusses the performance of the GaAs miniature microwave integrated The direct in (MMIC) RF amplifier used the prototype sampling receiver. circuit 1211 [Stanford, block 5052 SNA-586 which was readily amplifier used was a type gain It linearity. NF was third had order and available, small, easy to use and good published ideal is IMD) performance not subsequently found that its second order (harmonic and for this application. '
the to it related closely The choice of the RF amplifier device and the decision to not replace are developing to investigated first means a as progressof the project as a whole. The digital receiver was An front-end. a wideband down-converter and digitiser following a conventional super-heterodyne it limited Due resources to for that purpose. early prototype had been built using the chosen amplifier of mitigation filter some to harmonic provide was decided to utilise the same device but to include a has harmonics above 15 MHz. Further work on characterising the digital receiver performance quantified the limitations due to the amplifier.
124
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
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6-J JNASti6 GaAs RFAmpli,
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The amplifier has been characterised using the circuit of Figure 6-5 constructed as a test piece (Figure 6-6).
The amplifier was measured in this configuration using an s-
parameter network analyser. The results indicate that it offers acceptable gain and matching performance for the intended HF application (Figure 6-7).
-V 4W
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Figure 6-6 MMIC' Kr Amplifier iesi riece. y
harmonic IP21N its lt has been found that whilst its IP3IN was acceptable and for strong digital full capability inadequate receiver performance where to realise the Using dBm. 17.5 + signal handling. The amplifier's measured IP3IN was measured as in IP21N excess Figure 5-13 it can be seen that to realise the full SFDR this requires an 125
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
126
for Measured dBm. the results +70 amplifier's second and third order intercept point of frequency in function Figure 6-8. Table are shown 6-1 presents the measured of a as Using these results and assuming a standard Figure 6-9 has been drawn to show at what input signal level characteristic order second
harmonic performance of the amplifier.
2nd and 3rd order harmonics would start to impact harmonically related channels. Products of order greater than three were not found to be a significant performance limitation. 5
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Network Measured Characteristics Amplifier RF GaAs on SNA-586 Figure 6-7 Analyser
126
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
127
30
30
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SNA-586 IP3in SNA-586 Gain
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20
(MHz)
30
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Figure 6-8 SNA-586 GaAs RFAinplifier
Frequency
25
Gain und Linearity Measurements
2nd Harmonic (dBc)
3rd Harmonic (dBc)
2
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-55.0
5
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-51.1
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127
Chapter 6 Performance of a Prntotipe Direct Sampling Digital HF Receiver
128
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160 -80
-70
-60
-50
-40 -30 Input Signal Power (dBm)
Figure 6-9 SNA-586 RF Amplifier 2ndand
6.1.3
Harmonic
-20
-10
0
Harmonic Performance (Extrapolated)
Filter
A fifth order 0.25 dB Chebychev filter with a corner frequency, I.. of 30 MHz has been implemented to minimise
the impact of harmonics that fall out-of-band
(particularly those due to the RF amplifier used). The filter was modelled using the SPICE analogue circuit simulation tool (Figure 6-10).
128
Chapter 6 Performance of a Prototype Direct Sampling DigiIul I/F Receiver
10.0
129
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F inure 6-10 Selectivity of 5 t1 Order Harmonic Filter (Modellei I H'ith S'PIC'E.) ,
6.1.4
Digitiser (Analogue-to-Digital
Converter)
A high performance ADC, the Analog Devices AD6644 [Analog, 107], that became available (as a pre-production `X-Grade' part) at the time that this study for in direct the sampling receiver. was selected use prototype
as undertaken This is a high
The AD6644 65 MSPS. 14-bit ADC to rates up performance which supports sampling has a calculated NF of 29.8 dB and a full-scale input power of 4.8 dBm (using a transformer coupled input). This equates to an ADC IDR/BDR of 149 dB (114 dB in 3 kHz). The basic ADC SFDR is 90 dB. With the use of dither a SFDR of>110 dB can be achieved. Therefore a narrowband dither generator is included in the prototype implementation and allows a dither noise signal to be added to the input of the ADC. To maximise performance the dither is added out-of-band at frequencies below I MHz.
6.1.5
Sampling Clock Generation
implemented been has In the prototype direct sampling digital receiver a sampling clock by utilising a high quality voltage controlled crystal oscillator (VCXO) with a narrow (-15 kHz) tuning range, and phase locking this to either a temperature compensated (e. frequency a g. standard high crystal oscillator (TCXO) or a stability external ]) 12? [Connor. VRI Rubidium standard). The VCXO utilised (Connor Winfield HV54
1ý9
Chapter 6 Performance of u Prototone Direct Sampling Digital HF Receiver
130
has an RMS phase jitter of _1 MHz
-155* `Estimated
Value
Table 6-2 Prototype Widehand Digital Receiver TC'XO/L'C'XO Combined Phase Noise
6.1.6
DDC Performance
in Prototype
Wideband
Digital Receiver
The prototype direct sampling digital receiver makes use of a Graychip GC4014 DDC ASIC [Graychip, 124]. This device contains four independent DDC cores enabling down is input The to four complex mixed to signals simultaneously. reception of up baseband using a complex NCO. R=1) cascaded integrator-comb (M=16... 32k).
This is followed
It is then filtered and decimated using a 4-stage (L=4, (CIC) digital filter including a programmable decimator by a 21-tap, decimate-by-2.
low pass filter and then a 63-tap, decimate-by-two low pass filter (Figure 6-11).
FIR (CFIR) compensating
FIR (PFIR) by-four programmable or
baseband (IQ) 16-bit device The complex produces a
be to digital programmed may receiver output. The gain through each stage of the level. input for signal a given maximise the instantaneous dynamic range
I-110
Chapter 6 Performance of'a Prototype Direct Sampling Digital HF Receiver
Input
Deamate by 8-16K
Deamate by 2
Complex Baseband
Deamate by 2 or 4
14
131
16
Decimating CIC Filter
Compensating -i FIR Filter
programmable -i FIR Fitter
Format & --0' 16 Cam
I
Decimation
Mode
Tap Weights
Format Gain
Frequency
rigure
o-11 rrogrammaete
Digital Down-Converter
[after Graschip, 124J
The GC4014 NCO (Figure 6-12) maintains a 32-bit phaseaddressregister ýtihich it uses to access a 16384 value (2'`') sine/cosine look-up table to generate 16-hit output look-up finite The table word-length samples.
leads to periodic errors which manifest
themselves as spurious NCO outputs.
In an analogous manner to the techniques used to
improve ADC spurious performance,
a digital noise signal (dither) can he applied to
improve the SFDR.
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Figure 6-12 GC-1014DDC NCO Implementation [Gruvchip, 12-I] The GC4014 NCO performance, taken from the data sheet, is reproduced in Figure 6-13. Without dithering the worst case spurs occur at -82 dBc (Figure 6-13a) whilst. 6-13b). dBc (Figure below fall with dithering applied, the majority of spurs -105 in dBc. the one shown Without dither the worst case NCO spurs occur at -82 such as frequency the to sampling Figure 6-13c, and are due to a few frequencies that are related in the errors by small rational numbers (e.g. 3/16 * Fs). In these cases the rounding the error fashion, thereby concentrating in lookup sine/cosine table repeat a regular These worst it the spectrum. power at a single frequency, rather than spreading across by the or errors that initial minimises by phase casespurs can be avoided selecting an that data all The states Hz). sheet changing the tuning frequency by a small amount (50
131
Chapter 6 Performance of'a Prototype Direct Samling
Digital HF Receiver
132
fall below be dBc to made can with the selection of a proper initial phase or -96 spurs tuning frequency.
F
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3ý CE -32 CE
d. GC4014 NCO Peak Spur Scan (Dither applied)
c. GC4014 NCO Peak Spur Scan (no Dither)
Figure 6-13 GC401-1 Numericulhv Controlled
Oscillator
(NCO) Spurs [Grabchip, 124]
The CIC output is filtered by two stages of filtering. The first stage is the CFIR, which band CIC for the the and provides close-in selectivity. pass slope of compensates based) (ROM two coefficients of sets of
One
The be set of coefficients used selected. may
in the `normal' mode give a pass-band which is flat (0.01 dB ripple) over 100% of the final output bandwidth
band dB has 85 rejection. of of out and which
The 'narrow'
halving the band dB 10 the of expense at rejection out of mode coefficients provide >1 bandwidth. useful output
The second stage decimate-by-two
either internal ROM based coefficients, internal 80% bandwidth
filter four PFIR uses or
The filter downloaded coefficients. or externally
PFIR filter provides 80 dB of out of band image rejection and
0.03 dB peak-to-peak pass-band ripple.
132
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
133
Figure 6-14 Frequency Responseof GC4014 CFIR Filter (3 kHz. Vi quIi.sI bandwidth) Figure 6-15a shows the overall DDC selectivity in the normal mode and Figure 6-15b in the narrow mode (as modelled in MATLAB using the GC4014 CIC, CFIR and PFIR filter specifications). The DDC implementation is designed such that the peaks in the stop band at 3.5 times the output sample rate will, after decimation, fold into the transition band from 0.4 to 0.5 of the output sample rate. This out of band power can be filtered out by either using a custom PFIR filter with a narrower pass band, by or postfiltering the DDC output. In summary the GC4014 DDC used in the prototype receiver is able to provide >110 dB selectivity within the centre of the pass band and a SFDR of >_102dB (typically 105110dB).
00 -20 --- ----------------------------------------------------------------m -40 --- ----------------------------------------------------------------Peaks alias into baseband transition region a. -60 -- --------- ----------------------------- - --------------n
-20 ---- -------------------------------------------------------------p^p -40 --- ----------------- ---------------60 --
-----------------------------
---------------------------------------------------------------
-. _. ---____---..___. -80 _____________--____---____--____--___----_.
_80 .)
------------------------
Frequency(kHz) a DDC Selectivity (CIC, Normal CFIR, Default PFIR)
--
- -------------------------------
30 20 Freauencv(kHz)
40
50
b. DDC Selectivity (CIC, Narrow CFIR, Default PFIR)
Figure 6-15 Modelled Performance of GC4014 DDC (3 kHz Avguist bandwidth)
133
('harter 6 Performance of a Protolupe Direct Sampling;Digital HF Receil er
6.2
1; -1
Predicted Performance of Prototype Digital HF Receiver
Following an examination of the major components in the digital receiver that effect has been parameter cascaded analysis a undertaken to predict the performance, has been that the receiver prototype of constructed. The results of this are performance has been repeated for inputs of 6-3 dBm in Table dBm, which and which given -113 -10 is the predicted ADC clipping level (0 dBFS). The key predicted performance from this analysis are as follows: NF=16 dB, IP3FN=+19dBm, that come parameters IP2IN=+27dBm, BDR=110 dB. The 3 kHz channel BDR is predicted to be -I 10 dB (determined by the ADC noise floor). The previous analysis indicated that the DDC dB in Hz bandwidth dB 1 in kHz) but (80 3 be IDR this of may -115 will provide an (by impacting is DDC it the the programming gain) without required wherever placed front-end performance.
134
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
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r
N
Receiver HF Sampling Direct Table 6-3 Predicted Performance of Prototype Wideband
135
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
136
Prototype Receiver Performance Measurements
6.3
Following construction the performance of the prototype receiver has also been by undertaking a series of measurements. The complex basebandsignal characterised from disk to the output of the receiver's DDC. This was then analysed was streamed The MATLAB. here results presented are from measurementsmade without the using front-end filtering and protection module. The following measurements Nýere made to basic the receiver performance: establish "
Impact of dither on ADC SFDR;
0
Receiver sensitivity (noise figure);
0
Third order intermodulation products;
0
Second order intermodulation products;
"
Harmonic performance;
"
Receiver SFDR;
0
Blocking Dynamic Range (BDR) and Instantaneous Dynamic Range (IDR):
0
62.208 MHz sampling clock phase noise; and
0
Under-sampling (sub-octave sampling) performance.
6.3.1
Impact of Dither on ADC SFDR
In order to assesthe benefit of adding dither to the input of the ADC input to improve dBFS for the ADC) signals (11.0 MHz and its linearity, two dBm (equivalent to -20 -30 11.01MHz) were applied to the receiver. Figure 6-16 shows that, with the receiver's dither generator switched on, the power of spurious signals decreasedfrom -80 dBc (by (set level dither The dBFS). 100 dBFS) to approximately -90 dBc (-110 used commanding a DAC which in turn set the gain of a voltage controlled amplifier) was improvement SFDR further increased level being no until the from the analysis improvement The predicted the was seen. results measured agree with determined empirically
presentedearlier.
136
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver Power Spectral Density, FFT Size: 1024 points
POwer Spectral Density
-20
-20
w0
40-
b0
ao
FFT Ci, o -...
137
-
IJ A0
$0
0
^ýMW
a -100
-100
12 -5
-2
-4-3
Figure 6-I6
-3
-2
x 10s
Dither
a. No added
6.3.2
-120 .4
012345 -1 Frequency(Hz)
-1
0 Frequency (Hz)
234 x 10`
b. With Dither
Lffect of Adding Dither to ADC Input Signal (Input tones are dBFS) -20
Receiver Sensitivity
With the receiver bandwidth set to 1 kHz a single RF tone was applied and its level its dB 45 floor (equivalent to an SNR of 10 dB the output was above until noise reduced in 3 kHz). The required input signal level to achieve this was dBm (see Figure -113 6-17), giving a noise floor of -158 dBm/Hz. This accorded closely with the predicted receiver sensitivity. Power Spectral
Density:
7.600 MHz, 1024-pt FFT
0
-10
m
-20
Ca
N -30
0
n
-40
o-50 a
-60
-70 -600
-400
-200
0
200
400
600
Frequency (Hz)
Sensitivity: aIim ty_ Receiver Digital Measured 6-17 Figure -1)5
117
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
6.3.3
Third Order Intermodulation
138
Products
Using two signal generators, two -20 dBm tones were applied to the receiver at a kHz. 20 The intermodulation third of order separation product could then be clearly Fourier transform of the receiver output was taken (Figure 6-18). A the when seen dBc is of equivalent to a third order intercept point of + 19 dBm. spurious output -78 Power Spectral
Density:
7.510 MHz, 1024-pt FFT
0
-20
CO
dBc IMD -78
CO -40 N 0
-60 aN
d U)
äý
-80
0 a-
-100
-120 -5
-4
-3
-2
-1
012345 Frequency (Hz)
x 104
Figure 6-18 Measured Digital Receiver IMD using 2 tones at -20 dBm
6.3.4
Second Order Intermodulation
Products
The second order intermodulation performance of the receiver was measured using two IMD in 2nd This dBm MHz. input 7.2 6.3 MHz product order a tones resulted and at -15 2nd The dBm. be dBm +27 order Hence IP2IN to 14.5 MHz. of -57 was calculated at level input in dB because the signal change nature of these products was confirmed aI resulted in a2 dB change in the IMD level.
6.3.4.1 Harmonic Products The harmonic performance of the receiver was found to accord closely with the results 6.1.2). (see RF amplifier presentedearlier for the harmonic performance of the
138
Chapter 6 Performance ofa Prototype Direct SamplinDiDigital HF Receiver
6.3.5
139
Blocking Dynamic Range (BDR) and Instantaneous Dynamic Range (IDR)
The receiver's maximum input signal level was confirmed by applying an RF tone and increasing its power until the ADC overload indicator was activated. The pm\er dBm. do Given this the measured noise floor of to was dBm/Hz -13 required this -158 dB. BDR 145 the of a receiver gives The IDR was measured by applying a -15 dBm signal to the receiver, and adjusting the down-converter its dynamic in to the maximise range. The result of this test is gain be 6-19. As IDR is in Figure dB 115 the can seen which is less than the BDR shown by DDC (word length, limited is NCO performance etc) as the performance and Since is discussed. DDC the the output programmable it is always possible previously to adjust its gain to maximise the IDR for the signal power in the selected channel (frequency/bandwidth). Power Spectral
Density:
7.600 MHz, 1024-pt FFT
0
-20 d CO -40 >115 dB SNR aý
0
60
Ü N
a -80 0
-100
-120 -600
-400
-200
200
0 Frequency
400
600
(Hz)
Figure 6-19 Measured Receiver Instantaneous Dynamic Range with -1.) dtcm input
139
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver
6.3.6
140
Performance of 62.208 MHz Sampling Clock Generator
A prototype of the 62.208 MHz phase locked master oscillator \Nas constructed and testedby using it as the sampling clock source on the prototype receiver. A high quality to was used provide a test tone and the received signal spectrally generator signal in The Matlab. measured oscillator performance is as shown in Figure 6-20 to analysed Figure 6-22. Figure 6-20 shows the phase noise of the VCXO free-running. In Figure 6-21 it is shown phase-locked to the TCXO improving its performance. In Figure 6-22 the performance when the VCXO is phase locked to the TCXO which is, in turn, phase locked to an external high quality frequency standard (some very low level spurs, probably due to the PLL, are evident in this case). This demonstrates that near ideal performance was achieved with the close-in phase noise being determined by the 10 MHz TCXO reference oscillator and, outside of the loop bandwidth, by the 62.208 MHz VCXO. Power Spectral Density, FFT Size: 1024 points 0
-20 M
-40
-60
-80 U, ö -100 a -120
-140 -600
-400
-200
0 Frequency (Hz)
200
400
600
Figure 6-20 62.208 MHz Sampling Clock Phase Noise (Free Running)
140
Chapter 6 Performance of a Prototype Direct Sampling Digital HF Receiver Power Spectral Density, FFT Size: 1024 points
141
Power Spectral Density, FFT Size: 1024 points
00
-20
-20
R m
40Co L`
-40
T
L
-60
-60
Sö
-80 N
fn
3: -100
o -100 ý^*M1+fwyý_ -120
-120
-140 -600
-400
-200
0 Frequency
200
400
(Hz)
600
-140 -2.5
-2
-1.5
-1
0 0.5 -0.5 Frequency (Hz)
P igure 6-21 62.208 MHz Sampling Clock Performance (I'(XO
0
1
1.5
2
2.5 10'
locked to TC'XO)
Power Spectral Density, FFT Size: 1024 points
-20
-40 T -60-
-BoCL V) ö -100 0
-120
-140 -600
-400
-200
0 Frequency (Hz)
200
400
600
Figure 6-22 62.208 MHz Sampling Clock Phase Noise (VC,VO T(XO Ext. Standard)
6.3.7
Under-Sampling Performance - VHF/UHF Applications
The wideband digital receiver design is flexible and capable of wider application. The basic receiver was designed to allow signals within the full analogue bandwidth of the ADC, -250 MHz, to be utilised. The large analogue bandwidth makes it suitable for be digital Hence could the wideband under-sampling applications. receiver architecture In to frequency higher meet final in VHF order IF/digital the radios. used as and stages the Nyquist criteria the signal applied to the receiver must be externally band-pass filtered to ensure that it is not wider than Fs/2 (i. e. -31 MHz).
The under-sampling
filter harmonic (with the pre-ADC performance of the prototype receiver was evaluated removed) using a -15 dBm 200 MHz input tone and found to be close to the expected
141
Chatter 6 Performance of a Prototype Direct Sampling Digital HF Receiti er
142
(see Figure 6-23). Note that when performance theoretical under-sampling an input impact (jitter) increases the of phase noise signal with frequency (as discussed in 5.8.3). This manifests itself as a reduction in SNR. Power Spectral
Density,
0
FFT Size: 1024 points
-20
m
ö a)
-40
-60
-80
-100 a -120hyý
-140 -6000
-4000
-2000
0 Frequency
Figure 6-23 Receiver Under-sampling
6.3.8
Discussion of Prototype
2000
4000
6000
(Hz)
Performance: -15 dBm input at 200 AIH:
Direct Sampling HF Receiver
Performance The prototype receiver performance was found to accord closely to that predicted in all respects
(measured
as
NF=17 dB,
IP3 =+20 dBm,
IP2[, =+27 dBm,
BDR(3 kHz)=l 10 dB, IDR=115 dB). The receiver sensitivity, BDR and 3`d order IMD are all good and directly comparable with good conventional narrowband receivers. The IDR is excellent and typically
35 dB better than a conventional narrowband
is linear the implies of particular through IDR, receiver, receiver. gain which importance where absolute signal strength is important (e.g. in a channel sounder) or 2nd the where AGC is undesirable. However, as the performance predictions showed, in the receiver RF prototype IMD harmonic the used order amplifier and performance of fell significantly short of optimal for good strong signal handling. The performance directly the to is but related is achieved not a fundamental limitation of the architecture RF amplifier used.
142
Chapter6 PerformanceOLY PrototypeDirect SamplingDigital HF Receiver 6.4
Improving
the Performance
of the Prototype
143
Receiver
The following paragraphs consider how the performance of the digital receiver ma\ be improved.
6.4.1
Rejection of Sub-HF Frequencies
Numerous broadcasters transmit high power signals at long-wave and medium-ýýave frequencies (LF and MF). Further, the noise floor at LF/MF is significantly higher than For frequencies. intended for higher a receiver solely HF operation it would be useful at to include pre-selection filtering to reject these lower frequencies as it would reduce It is worthy of note that the prototype inherently harmonic and IMD. provides due filter to poorer and RF amplifier matching at these out-of-band additional rejection frequencies.
6.4.2
Use of a Higher Performance RF Amplifier
It is clear from both the analysis and measurement results presented that the direct is limited by linearity the the sampling receiver of prototype performance of the RF amplifier that was used.
A search of the literature and specifications for
has information high intercept on a point amplifiers provided commercially available be devices (or amplifier could a suitable number of suitable with sufficient expertise designed and build). Alternative RF amplifier configurations such as those utilising a higher operating voltage and so providing a greater linear voltage swing range, balanced push-pull designs (with inherent second order harmonic cancellation) and the use of linearisation techniques (e.g. feed-forward error cancellation) techniques are all potentially applicable. Calculations were presented in the previous chapter, assuming the use of a type QB 101 RF amplifier [Remec, 117]. The performance of this amplifier is compared with that of be it indicates This that 6-4. would the SNA-586 used in the prototype receiver in Table HF digital direct sampling possibleto construct a much higher performance whole-band deficiency the of the IMD major receiver and address the second order performance, prototype receiver.
143
Chapter 6 Performance of'a Prototype Direct Sampling Digital HF Receiver
Parameter
RF Amplifier
RF Amplifier
SNA-586
QB101
Noise Figure
5.5 dB
4.5 dB
Gain
20.5 dB
21.9 dB
Output Pl dB
+21 dBm
+31 dBm
IP1)r,
+17 dBm
+32 dBm
IP21N
+26 dBm
+83 dBm
Supply voltage
5V
24 V
Supply Current
85 mA
420 mA
fable
6.4.3
b-4
KH Amplifier
144
l'erforntunce
( 'huracteristics
Compared
Benefit of ADCs with Higher Sample Rates
The performance of the ADC has a major impact on the performance of a digital receiver. In the time since the prototype receiver was built incremental technology developments have led to the availability of ADCs with similar dynamic performance to the converter used but in higher speed grades. [Analog, 125], a derivative
The AD6645
from Analog Devices
of the AD6644, allows operation at up to 105 MSPS. The
benefit higher in direct is HF of employing sample rates a sampling receiver principal that it lessens the transition requirement in the front-end anti-aliasing filter.
Whereas
the prototype receiver allowed operation up to 28 MHz at full performance using a band higher MSPS ADC coverage and whole sampling rate would allow a -62 likely This filter design the allow a reduced order would significantly ease requirement. filter to be used and thus make it easier to achieve good pass-band ripple and matching (VSWR).
6.4.4
Improving
Digital
Down-Converter
Dynamic Range
It was previously noted that, once digitised, signal processing can be undertaken with an in GC4014 the prototype level fidelity. the The used of arbitrary performance of DDC ASIC More SFDR. dB) recent receiver provides >102 dB (typ. 105-110 implementations are able to provide slightly improved performance: >1 15 dB SFDR (e.g. [Graychip, 126]). They also have greater output word lengths (24-bit) reducing the need for gain adjustment in operation.
More latterly it has been shown that the
FPGAs becoming is implementation of DDCs with similar performance practical within
144
Chapter 6 Performance of'a Protolupe Direct SamplingDgital
HF Receiver
145
Given the performance of available ADCs, ý\ ith this level of DDC limit the the performance of a digital receiver. will not performance [Walke, 127].
6.5
Chapter Summary
A prototype wideband direct sampling digital HF receiver has been constructed and its The (measured results measured. achieved as NF=17 dB, IP3IN=+20 dBm. performance IP2IN=+27dBm, BDR(3 kHz)=110 dB and IDR=115 dB) were found to agree closely for design. In in ith the the they those predicted/specified general are accordance XN with for high HF in (discussed Chapter 5). Whilst the performance receivers requirements have implementation been improved in a number of respectsas could prototype receiver 2"d IMD it demonstrated for first (particularly that, the order performance) proposed direct-sampling digital HF receiver is a practical high time, a performance wideband, proposition. The following chapter presents the design of a wideband digital HF transceiver (HF in discussed direct HF incorporates this the sampling receiver software radio) which 10 9 Chapter Chapter digital HF transmitter and exciter. chapter and a complementary discussan application of the wideband digital transceiver as an HF channel sounder and presentresults from on-air measurements.
145
Chapter7A Wideband, Multi-Channel, HF SoftwareRadio
146
Chapter 7.
A Wideband, Multi-Channel,
HF Software Radio
This chapter describes a wideband, multi-channel,
direct sampling digital
HF
transceiver that has been designed and constructed'. It has been specifically designed as defined highly software re-configurable, a radio system. The previous chapter discussed the technical performance of its direct sampling digital HF receiver and presented measurement results. This chapter describes the overall transceiver design for which the digital transceiver system was designed include use as a multi-channel HF radio modem and as a platform on ý\hich to
and implementation.
Applications
implement a flexible HF channel sounder to allow the characterisation of the HF latter is described This in Chapter 9. use environment.
The implementation of such a complex system is a very significant piece of work. The hardware design of the digital transceiver is the author's own work. However, a number of others made designed CRC Bova Mike and In of significant contributions to realising a working system. particular, implemented the bus arbitration and local bus control logic in a CPLD. As part of this work he also implemented a number of software routines to permit communications with the board. Once the CRC the routing Huynh Minh had identified undertook key of author the placement of components, Also, a number of underand placement of the transceiver PCB under the author's supervision. in detailed the as direction graduate students under the author's made useful contributions acknowledgementsat the start of this thesis.
146
Canter 7A Wideband, Multi-Channel, HF Software Radio
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147
Chanter 7A Wideband, Multi-Channel, HF Software Radio
7.1
148
Wideband Digital Transceiver Architecture
The digital transceiver hardware architecture (illustrated in Figure 7-2) has been designed to allow its functionality to be very largely defined through the download of PLD The has been designed as a and configurations. transceiver software application full length peripheral component interconnect (PCI) card which can be hosted in a (PC). Application computer personal software may be downloaded from conventional the host to the processors within the DSP sub-system. All interaction '\ ith the principal digital (e. transmitters large and g. receivers) (100,000 gate) occurs via a peripherals RAM based field programmable gate array (FPGA, [Brown, 128]). This device, termed be FPGA, can used to perform additional high speed or time critical the processing data hardware. It in be for to also allows paths configured as required any processing particular application.
The host can download new configurations to this FPGA to
implement application specific functionality. The principal features of the digital transceiver are summarised below and described in following in detail the sections: more 0A 0
PCI interface to allow the transceiver to be installed in a host PC; An architecture employing a local address/data bus with bus arbitration and multiple bus mastering;
0A 0A
high performance DSP sub-system module installed on a mezzanine site; flexible
architecture allowing
software configuration
and download of
application software; "A
low for phasefrequency standard sub-system responsible generating stable, frequencies; reference noise sampling clocks and other
"
4-Channel digital HF receiver with diversity RF input;
"
4-Channel digital HF transmitter exciter;
0
Digital interfaces including synchronous and
"
Built-in self test diagnostic capabilities; and
"A
interfaces; data asynchronous serial
filter front-end module. separate protection and
148
Chapter 7A Wideband, Multi-Channel, HF Software Radio
149
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DATA
7
ADDR DATA
A"
PROGRAM SEUSQUENCER
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PM ADDRESS B
as
1
EXTERNAL
Ion
PORT
17
22
ADDR BUS MUD
DIA ADDRESS BUS
MULTIPROCESSOR PM DATA BUS
L
INTERFACE
4E
BUS
CONNECT Px
.
DATA BUS MUx
DMDATABUS 40/32
HOST PORT
DATA REGISTER FILE fAULT1GLIEB
'a
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DMA CONTROLLER
YAPPED,
SERIAL PORTS
ao81T SHIFTER
6
121
6
LIIIK PORTS
36
CONTROL. i
STATUS DATA BUFFERS
4
161
1/0 PROCESSOR
a. ADSP-2106x Super Harvard Architecture 00000 0000
0.00.00000
IOP REGISTERS 00002 0000
INTERNAL MEMORY SPACE
BANN
0 mso
NORMAL WORD ADDRESSING
DRAM
M004
0000
1OPTIONAL)
SHORT WORD ADDRESSING 0.00060000 INTERNAL MEMORY SPACE OF ADSP-2106 WITH ID=001
BANK
I
00010 0000 INTERNAL MEMORY SPACE OF ADSP-2106v WITH ID=010 DYOOl6 0000 INTERNAL MEMORY SPACE OF ADSP-2106Y WITH ID-011
MOa0DUO MEMORY INTERNAL OF ADSP-21061 WITH ID=100
MULTIPROCESSOR MEMORY SPACE
SPACE
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3
M5,
EXTERNAL MEMORY SPACE
00028 0000 MEMORY INTERNAL OF ADSP-2106, WITH ID=101
BANK 2
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SPACE
BANK
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0000
0.0038
0000
SIZE IS BV SELECTED MSIZE BIT FIELD OF SYSCON REGISTER
MEMORY SPACE INTERNAL OF ADSP-2106X WITH ID=110
BROADCAST
WRITE
NONBANKED
TO ALL ADSP-2106n II
OxOO3FFFFF
NORMAL WORD ADDRESSING. 32-BIT DATA WORDS 48-BIT INSTRUCTION WORDS SHORT WORD ADDRESSING 16-BIT DATA WORDS
O. FFFF FFFF
b. ADSP-2106x Memory Map
135]) [Anulog, from Architecture Figure 7-3 SHARC ADSP-2106x
7.4.2
DSP Sub-system Mezzanine Site (SHARCPAC Site)
A SHARCPAC [Bittware, 136] compatible mezzanine site is included on the transceiver board to allow the incorporation of a local, tightly coupled DSP sub-system. four have to processors. SHARCPAC modules, which are available commercially, up inclusion The a of local They are available with on-board, high speed memory. SHARCPAC compatible site allows modules with different processing/memory
153
Chapter 7A Wideband, Multi-Channel, HF Software Radio
154
installed be to meet the needs of a given application without to capabilities requiring hardware modifications to the main transceiver board. Although the SI-iARCPAC interface has been designed for use with SHARC processors it would be possible to develop a DSP sub-system module with alternative (i. e. more po\t erful) processors should the need arise. The
wideband
transceiver
board
has
been
designed with
a
split
local
(control/address/data) bus architecture so that if a SHARCPAC module is installed, it full speed even whilst other transactions are taking place on the at may operate bus local (see Figure 7-2). The two buses are only joined when transceiver's local between bus and DSP sub-system are required. The the transceiver transactions bus link function employs high speed 2-port bus switches [Pericomm, 137] in fully logic bi-directional this transceivers to as allows operation and very loýý preference dedicated for SHARCPAC judicious A latencies. the power plane site and a signal bus 5V 3.3 V DSP the the power supply voltage allows of or switch use of choice logic link board is (the transceiver the a single main change of processor modules with wholly 3.3 V).
7.5
Dual SHARC DSP Processor Module
7.5.1
Description
A DSP sub-system module (Figure 7-4). which attaches to the digital transceiver digital the developed SHARCPAC site, has been to support the anticipated uses of DSP SHARC 40 MHz dual ADSP-21060L transceiver'. This module is fitted with fast (zero 48-bit state) wait Mbits) (2 large wide shared of processorsand a quantity is DSPs SHARC for MHz the 40 The (SRAM). clock static random access memory In to SHARCPAC order board site. the from digital transceiver via the supplied a for operation) multi-processor (a reliable minimise clock skew critical requirement to generate lock this and to is signal 138] to buffer [ICS, used phase zero-delay clock the clocks
commercially four were processors two or Whilst commercial SHARPAC modules with one, for the be real-time to needed available, none had the large, high speed memory capacity expected the experience given For and this reason, implementation of applications such as the channel sounder. it SHARPAC was for site. the interface electronics that had to be gained in any case to implement the decided to also develop the DSP module described.
154
Chapter 7A Wideband, Multi-Channel, HF Software Radio
t, figure
I-"t
L/uu1
.3r1JiixL
rrucessur
iv[uuuie
155
it'im
ZIVIX-ii
murea
memOr1'
Figure 7-5 illustrates how the two SHARC processors on the processing module are interconnected and which interfaces are fed through to the digital transceiver board. Table 7-1 shows how these are routed on the digital transceiver board. LP2
LPO
LP4
LP6
LP7
LP5
LP3
LP1
Module LED I-
ItN-T,
IF
If
IF
I
L5
L4
L3
L2
I FLAGO FLAG1 ý FLAG3 ý--+
º -ý
FLAGG FLAG2 FLAG3
SPORTO
0
IRQ2
SPQR TI
IRQO
L2
IRGO
L4
L3
go L1 LO Sharc
#1
ADSP-21060 [ROO ý
interface ---
L1 'i .4 LO d Sharc
LED
FLAG1 IRO1
IRO1 FLAG1 I SPORTO Iý--ýº
ä6
L5 FLAGO FLAG2
FLAG6
FLAG3
FLAGS
FUAG7
ADSP-21060
SPORTO
IRQ2 SPQR Ti
s
IRO1
SPORT1
SPORT3
SHARC Processor Control/Address/Data Bus
Shared Memory 2Mx48 SRAM
SHARC JTAG
Interconnections Module Processing SHARC Dual Figure 7-5
155
Chapter 7A Wideband, Multi-Channel, HF Software Radio
SHARCPAC Interface
Destination on Digital Transceiver Board
LPO, LP2. LP5
Processing FPGA
LP3
Connector (for off-board connections)
LP I, LP4, LP6, LP7
Not used.
SPORTO, SPORT3
Processing FPGA
SPORTI
Connector (for off-board connections)
FLAGO, 1,3,5,6,7
I arte
7.5.2
Module Control
156
Processing FPGA and LEDs
IRQO
Bus Arbitration
IRQI
Processing FPGA
-I
CPLD, Processing FPGA
Dual 51JARC' DSP Sub-Si'stem Module Interfiices
Interface
The module control interface (MCI) is defined within the SHARCPAC specification [Bittware, 136] to allow a carrier board to determine the functionality of the module installed and then to control it. (MID)
number',
interrupts,
The MCI controls the multiprocessor identification
and resets of each SHARC
DSP.
Interrupts can also be
generated and masked using the MCI for debugging purposes. The boot mode of all non-primary
SHARC
DSPs is controlled
by the MCI.
Access to an EEPROM
containing information on the connections and functionality of the SHARCPAC module is gained through a register in the MCI. The MCI has been implemented as a set of eight is digital bus its in CPLD (MCI) Altera transceiver the which registers a small on own CPLD). bus digital interact (via to the arbitration able accessand receiver with
7.6
Digital Transceiver
Configuration
Download Software and
The digital transceiver configuration hardware architecture is illustrated in Figure 7-6. lt provides a number of mechanisms by which the system's PLDs, DSP processorsand memory can be configured.
I (from a cluster is allocated to each SHARC processor within
A multiprocessor identification (MID) to 6) and is used for inter-processor communications.
156
Chapter 7A Wideband, Multi-Channel, HF Software Radio
157
D FPG< JTAG JTAGChz,
n Bus Arbitration CPLD
Frequency Standard CPLD
EPM7512
EPM7064
L
No.
00es FPGA
PROM EPC2
F10K10 0A
FPGA Download
Bus
PCI Bridge PCI Bus PLX9054 4MB FLASH E2PROM Local Bus AddressiData Bus Link
SHARC JTAG Chain
Site)
DSP Processor #1
DSP Processor
SHARC ADSP21060
SHARC ADSP21060
#2
JTAG Port
higure /-6 Digital
7.6.1
Proces sing Site (SHARCPAC
DSP Sub-System Address/Data Bus
Configuring
I ransceiver Configuration
Transceiver
Programmable
Architecture (Simplifies! )
Logic Devices
There are three Altera PLDs in the digital transceiver and an EPC2 PROM [Altera. 1391 that, if fitted, can configure the processing FPGA from a pre-stored bit stream. These devices are all connected in series on a single JTAG [IEEE, 134] programming chain. This is the primary (and only) means of programming frequency standard CPLD and the serial PROM.
the bus arbitration CPLD, the
The EPC2 PROM was included in the
design as a back-up for the software download interface and to allow the transceiver to be configured for use without a host PC. However, the primary means of programming the processing FPGA arbitration
CPLD
is via a memory
allowing
a host
implemented interface mapped
initiated
software
download
of
bus the via the
FPGA
configuration file.
7.6.2
Software Download (DSP Sub-system)
The primary means of downloading programs and data to the DSP sub-system software is via the host which can directly access the shared memory, and in the case of SHARC the programming A of secondary means processors,the internal processor memory. (E2PROM) would PROM which is MByte processors via a4 serial electrically erasable DSP The PC. subfor a of be digital outside use allow the transceiver to pre-configured testing development in and be the used systemalso has its own JTAG chain which can of software. 157
Chapter 7A Wideband, Multi-Channel, HF Software Radio
58
Transceiver Digital Interfaces
7.7
This section summarises the external digital interfaces available from the digital transceiver platform.
Link Ports / High Speed Serial Ports
7.7.1
The following SHARC compatible high speed interfaces are brought to connectors on the transceiver board: LPO, LP1, LP2 - These interfaces which are directly connected to the processing FPGA and are nominally intended to be used as additional SHARC processorLink Ports. They may also be re-configured as SHARC compatible serial ports or for input/output. user-defined "
SHARC LP3 - This provides a link port interface which is directly routed to the SHARCPAC site. If required this link port may either be routed to another board increase high back data between LPO-2 looped to the to number of speed paths or the SHARC processors in the DSP sub-system.
"
SHARC SP1 - This provides a SHARC serial port interface which is directly routed to the SHARCPAC site.
7.7.2
Auxiliary
Digital I/O
Three un-committed digital logic lines are routed from the processing FPGA to a is lines to that is It defined. used these is signal one of connector and their use user in input the sounder channel synchronisation provide a one-pulse-per-second application described in a later chapter.
7.7.3
Serial Interfaces
The wideband transceiver includes three onboard "
interfaces: serial communications
serial RS-232 synchronous/asynchronous RS232 compatible Controller Serial Universal Integrated interface using a highly configurable Zilog
Sync/Async
the included wideband is to allow interface [Zilog, 140]. The synchronous serial data be as It bed. configured can test developed be transceiver to as a modem
158
Chanter 7A Wideband, Multi-Channel, HF Software Radio
159
(DCE) equipment allowing standard synchronous serial data communications terminal equipment (DTE) to be connected to it directly. "
Async RS-232 - RS-232 compatible asynchronous serial interface utilising a National Semiconductors Universal Asynchronous Receiver/Transmitter (UART) type PC 16550 [National, 141].
"
RS-485 - RS-485 compatible bi-directional differential signalling interface which header (via links) be to either utilise the PC16550 UART or a and configured can to interface to the FLEX FPGA for custom UART designs. The differential interface is included to allow the wideband transceiver to serial asynchronous directly control other equipments such as power amplifiers and antennas. Such an developed been digital has Harris to the transceiver to allow control a application Inc. HF power amplifier and antenna tuning unit (ATU).
This work has been
described by Chau [Chau, 142].
Frequency Standard Sub-System
Receiver RF Front-End Channel o
FRED STD InlOut
Receiver CH.B RF Input
Receiver RF Front-End Channel A
Receiver CH.A RF Input Dither Generator Tx%RxCommon RF In/Out Transmitter Exciter RF Sub-System
PTT
WWI
lillilllll
Figure 7-7 Photograph
of'Digital
I ransrel%'er to
159
Chapter 7A Widehand, Multi-Channel HF Software Radio
7.8
Frequency Standard Sub-System
7.8.1
General Description
160
The frequency standard sub-system generates the loý%phase noise (loý% jitter) sampling by digital the transmitter and diversity digital receivers. It also clocks required sources TTL is MHz 10 clock which used to generate the clocks used throughout the a transceiver's digital processing sections. A sampling clock frequency of 62.208 MHz is it is because close to the maximum rate supported by the ADCs. DDC and DUC chosen
integer is it multiple of the most popular modem symbol rates (e.g. 75. common a and 2400, l 6k, 28k8) and the 10 MHz reference. A block diagram of the frequency standard is Figure 7-8. given at sub-system Trim TCXO (PLL override)
Loop Filter
DAC
40 kHz _
10 MHz TCXO
40kHz PFD
by 250
10 MHz External Reference
Divide by 625
SEL
16 kHz PFD
Variable Divide
External Reference 1,5 or 10 MHz
44
Standard Erd External 10 MHz In
Only
Filte r
62208 MHz VCXO
62 208 MHz Output
t6z
Divide
by 3888 10 MHz Output 1
-001-
Figure 7-8 Block Diagram of'Digital
Transceiver Frequenci' Standard Si, b-,wstem
The sampling clocks are generated by a high quality 62.208 MHz voltage controlled have designed to phase a The (VCXO). are generated clocks crystal oscillator sampling Hz 100 dBc/Hz and Hz 10 at better offset, than -70 at noise of -120 The performance. dBc/Hz kHz the receiver required >_1 with commensurate at -155 is the frequency normally VCXO is phase locked to a more accurate which reference has (TCXO) a which on-board 10 MHz temperature compensated crystal oscillator dBc/Hz
frequency accuracy of better than ±4.6 parts-per-million (PPM).
The TCXO. which is
160
Chapter 7A Wideband, Multi-Channel HF Software Radio
161
frequency reference, can be phase locked to an external 1,5 or 10 MHz the transceiver frequency standard (nominally a0 dBm 5052 sinusoidal source). Alternatively the TCXO frequency may be trimmed using an on-board, software controlled. DAC to an better 0.02 PPM. The than transceiver has a single frequency standard of accuracy input/output port which can be software configured to output the TCXO 10 MHz Figure 7-9 shows the graphical user interface (GUI) for user frequency In the standard. of addition to controlling the system the GUI also control displays the lock status of the VCXO and TCXO phase locked loops (PLLs) and frequency. reference
is whether an external reference present. Frequency Standard TC m
Tire
Figure 9-6 Pulse Compression Waveform Performance tieiric. s . The Doppler frequency range for a CIR measurement is also determined by the frame being PRF is it ±(PRF/2), the the reciprocal of the PRI. The presenceof larger period; Doppler frequencies than this range will cause frequency aliasing that cannot be directly delay (i. The Doppler time) multipath e. unambiguous and ranges that can be resolved. directly therefore, are, related. simultaneously measured The Doppler resolution of a measured channel scattering function is determined by the total measurement time. Where the required output of the CIR measurement mode is the channel scattering function, consideration must be given to the useful Doppler in 173] has been [Zuckerman, is It that order to that shown resolution actually obtained. in measurethe spectral content of a stationary random process, our case a nominally Gaussianfading channel, with a given frequency resolution accuracy (i. e. to obtain a chosen degree of statistical stability
in the results) the measurement time must
This can to significantly exceed the minimum time required make a single observation. be resolved by averaging a number of scattering function measurements (incoherent integration). Unfortunately, no signal processing gain is realised and all phase information is lost. Alternatively the measurement time can be significantly increased Contiguous Fourier transform. in each which increases the number of frequency bins bins can be averaged to reduce the data to the useful Doppler resolution. for a The CIR measurement processing gain over a single pulse channel estimate, by: is generalpulse compression waveform, approximately given (NsEQ PG(dB) =10 log, 0 x Frames)
(9-7)
211
Chapter 9 Application of'Digital Radio to HF Channel Characterisation
"12
where N,,,, -,
is the number of symbols in the waveform: and
Frames
is the number of CIRs processed.
In frequency dispersive channels the achieved processing gain will reduce as a function is length. Doppler the reduced as coherence across shift waveform of
9.4.2
Requirements
for Wideband
Before selecting a sounding waveform be to established. need
Mid-Latitude
Measurements
the basic measurement ranges and resolutions
The values in Table 9-1 have been chosen «ith
a basic
be investigated: HF to the paths of understanding Parameter
Value
Transmission bandwidth
80 kHz
Multipath
15 ms
range
Delay Time Resolution Useful Doppler Range Doppler Resolution Dynamic Range
9.4.3
Design of Wideband
40 dB Table 9-1 Required CURMeasurement Pertormancc'
Sounding Waveform
The principal pulse compression sounding waveforms that have been used in WHISPER are bi-phase shift keyed (BPSK)
modulated
maximal
length pseudo noise sequences
(PN-sequences). These exist for all sequence lengths 2"-l
(m>l, mEN).
have the special property that when they are correlated cyclically, is equal to the sequence length (2"-1)
These codes
their correlation peak
9-7). Figure (see and the side-lobes are all -1
PN-sequences Binary dB. may 20log(2m-2) dynamic range of giving a useful nominal feedback taps be generated economically using a clocked shift register with a number of
[Skolnik, 160].
212
Chatter 9 Application of Digital Radio to HF Channel Characterisation
r igure Y-
213
, vT (-nip r1v-, )equence Periodic Autocourelation Function
Transmitting them back-to-back
is also useful in that it allows a 100% transmit dut`
signal power (some codes require gaps between sequences equal to
cycle, maximising
the sequence length
to preserve
their
good
correlation
properties).
Given
the
bandwidths and delay time ranges of interest PN-sequences of lengths 511 and 1023 are appropriate.
BPSK was chosen for a number of reasons. It is simply implemented at
complex baseband in both transmitter
and receiver, provides the maximum 'distance'
between different symbols (thus providing good performance in the presence of Doppler and amplitude perturbations)
and it is a nominally
constant envelope signalling scheme
which maximises the transmitted signal power. Table 9-2 summarises the structure and
characteristics of a number of sounding waveforms (including one variant compatible for comparison). sounder
with the narrowband DAMSON
In each case the chip rate is
bandwidth. the of sounding -80% Waveform
Chip-rate
(BPSK)
PN-1023 PN-1023 PN-511 Barker-13
Delay Range
(kchip/s)
(ms)
81
12.6
61.4 40.8 2.4
16.6 12.5 12.5
Multipath Resolution
(µs) -10 -15 -35 -600
Doppler Resolution
Measure Time
Processing Gain
(Hz)
(s)
(peak, dB)
±40
8192
0.01
103
70
±30
8192
0.008
136
70
±40
8192
0.01
102
67
±40
128
0.6
1.6
32
Doppler Range
No. of CIRs
(Hz)
Table 9-2 Characteristics of Various wt1IM'LK, )ounamg wave/ur!r') If a digital sequence is transmitted with no pulse shaping through a band-limited in time the filter ringing channel such as a radio system the steep edges will cause in domain. This is observed as inter-symbol interference on the received signal which b} is using a rinse This turn results in poor peak-sidelobe performance. overcome
213
Chapter 9 Application of Digital Radio to HF Channel Characterisation
214
is filter both to which chosen maximise the obtainable peak-to-sidelobe ratio shaping inevitable broadening the of the correlation peak. This problem is and yet minimise for the to of windows selection spectral analysis using the Fourier transform and, in akin fact, the same windowing functions are applicable [Harris, 175]. Ho\\ e\ er, in this be the coefficients window must used as the coefficients in a transversal application The time domain windowing function was selected after simulation of the band-defining filters transceiver generation, and signal detection signal sequence digital For filters, this the transceiver purpose processing. which are a combination of
filter.
digital finite impulse response (FIR) and cascaded integrator-comb (CIO
filters
[Hogenaur, 115], were modelled using a high order FIR f ilter ýýith the appropriate cut9-8). (Figure frequency off
0
-20-
-40-
-60-
-80-
-100-
-1201 01234567 Frequency (Hz)
x 10'
Figure 9-8 Simulated Radio Filters (80 kHz Complex Basebana)
A number of standard window
functions were synthesised and the resulting
PN1023 for sounding a 9-9 the output simulation performanceexamined. Figure shows Gaussian and window, a (rectangular with window), waveform with no pulse shaping filter 50 FIR five tap the with a 5-tap, 50 dB Chebychev window. It was concluded that An delay time sidelobes. dB Dolph-Chebychev window coefficients gave acceptable to transversal equaliser is to use a alternative approach to using fixed pulse shaping back-to-back in a minimise the error between the transmitted signal and that received calibration. The formulation is shown in Appendix F. 214
Chapter 9 Application of Digital Radio to HF Channel Characterisation
215
0 tll ýýII
-
-10
Rectangular Gaussian Chebychev
-20 ,
IM -30
1
ICI
Ill E.
0
a
-40
-50
-600.5
0.3
-0.4
-02
0 01 -01 Delay Time (ms)
02
03
04
0.5
Figure 9-9 64 kchip/s P N-1023 Pulse Compression Waveförm in 80 kHz Channel As the sounding waveform
is to be used to characterise a channel that is subject to both
time and frequency perturbations
it is necessary to ensure that the chosen sounding
sequence will perform adequately over the expected operating range. This was verified by generating the signal's specified delay time. Doppler offset
correlation
function
with frequency shifted replicas at a
A plot of the PN-1023 correlation
is presented
in Figure
function as a function of
9-10 and Figure 9-1I
(close in).
These
demonstrate how, as the Doppler frequency increases the correlation peak-to-sidelobe ratio, and to some extent the correlation
less Doppler For than decreases. offsets peak,
±10 Hz the peak to sidelobe ratio is adequate (always better than 45 dB) and the
(Figure Doppler its dB is 2 conditions correlation peak power under zero of within 9-12). Scattering function measurements can easily be corrected for the decrease in correlation peak during post processing.
215
Chapter 9 Application of Digital Radio to HF Channel Characterisation
-116
10
N figure
v-1 u tsana-limited
04 KcNrp/s
? JVI Ulf
waveform
OR
versus
Doppler
Offset
0
70
Figure 9-11 Band-limited
6-1 kchip/s PN1023 Waveform CIR versus Doppler Offset (close in)
216
Chapter 9 Application of Digital Radio to HF Channel C'hurcuctc ri cation
21
60 55 Co ö
50
ö 45 a) Q 40 320 -15
-10
05 -5 Frequency Offset (Hz)
10
15
20
-10
05 -5 Frequency Offset (Hz)
10
15
20
0 m
-0.5 0 a
-2 -20
-15
Figure 9-12 Performance of as a Function of Frequency Offset
9.4.4
Practical Waveform Implementation
Issues
The sounding waveforms are designed to be implemented on the WHISPER sounder file description To digital transceiver platform. generate a waveform which utilises the the following additional steps are undertaken. A series of waveform transmit samples (including etc) by shaping pulse all three are obtained waveforms repeated generating and the centre section captured. This ensures that the transmitted waveform samples can be repeatedwithout discontinuity to provide the ideal periodic correlation properties that gives good peak-sidelobe performance. For practical implementation reasonsthe is length that an exact waveforms are also re-sampled at design time to give a waveform integer sub-multiple of the digital transceiver clock frequency (62.208 MHz). This DDC for and the be receiver decimation integer chosen ensuresthat an exact rate can data in that there are an exact number of CIR measurements a second which allows collection at the receiver to be started on any second boundary (accurately synchronised implemented. been have WCFs that using GPS). Table 9-3 details the measurement
2»
Chapter 9 Application of Digital Radio to HF Channel Characterisation
Waveform
Chip rate
Filename
(kchip/s)
,tx 1023-81r'
Sequence Length
Sample Rate
81
1023
129.600
16-10
1x1023-64r'
64
1023
77,760
1296
1x511-32r'
32
511
48,000
600
`barker-l3'
2.4
13
2.4
13
1uare i-. ) implementation
9.5
218
Receive Digital
Re-Sampled Length
of WHISPER Sounding lýý71ejoýms
Signal Processing
Received signals are down-converted flexibility To maximise receiver.
baseband by the wideband digital
to complex
the data is saved to disk as complex sample pairs at
this stage. CIR measurements are calculated off-line signal against a template of the transmitted waveform.
by cross correlating the received Initially a scattering function is
first few from the seconds of data (256 CIRs) to allow the overall multipath generated interest be determined. Doppler to of range and
Subsequently the entire measurement is
processed to determine the sampled time, sampled delay CIRs, q (4r, 4t), over the delay range of interest (reducing the size of the data set by typically windowed and FFT'ed
to obtain
the scattering
function,
a factor of 2). This is
S(d rAt),
before Doppler
filtering (removing all frequencies beyond that of the received signals) to improve the signal to noise ratio and further decrease the size of the data set. The decimated data may then be inverse FFT'ed to return to the time domain representation, 0, (4zit).
9.5.1
Use of Windows
in Calculating
the Scattering Function
The scattering function is estimated by calculating the Fourier transform of a time series
is Fourier CIR The delay transform a periodic time, of z measurements at a specific is If the series analysed not periodic processover the series of samples transformed. features of be that may mask over this period unwanted sidelobes will generated interest. Window functions can be used to force periodicity (by multiplying the series to be transformed by a function that tapers to zero at either end). The result of using a in the 175]. [Harris, calculating number of windows, with different characteristics is trade-off a The function utilised have been scattering window examined. (principally) between the depth of the sideband suppression and broadening of the main different a on lobe. Figure 9-13 windows by a number of shows the losses imparted
218
Chapter 9 Application of'Digital Radio to HF Channel Characterisation
'719
back-to-back Where data is presented in this thesis Hanning measurement. periodic a is window utilised unless otherwise stated.
0 77 Rectangular Nanning Dolph-Chebychev X60 dBi Dolph-Chebychev i80 dBi
10
-20 -30-
-40Ca -50 ö
+ ý.
-60 li -70
-80 90 r
S, -100 -10
-8
-6
02468 -2 Doppler Frequency (Hz)
-4
10
Figure 9-13 Use of Windows in Calculating the Scattering Function
9.6
Laboratory
Measurements
The WHISPER sounder transmitter back configuration
via
to Verify Sounder Performance
back-toin a connected and receiver system were
a variable
attenuator
measurements to verify the sounder's performance. measurements made using the tx1023-64r
in
order
(effectively
make some control
The results presented here are from
waveform
(64 kchip/s PN-1023 sequence):
Figure 9-14 shows the spectrum of the sounding waveform. back-to-back scattering function
to
the ambiguity
Figure 9-15 is a plot of the function).
dBc be as expected. time waveform seen at -55 side-lobes can clearly dynamic range of the digital
The sounding The excellent
the surface the of be rest across witnessed receiver can
by limited the plot (actually chosen dB is instantaneous dynamic >90 the where range floor rather than the instrument performance). Figure 9-16 shows the achieved time sequence. the sounding of the resolution of the sounder compared with autocorrelation 15 better is than µs lt shows the time resolution that can be obtained from the sounder bandwidth. kHz 80 in an at -3 dB and -30 us at -30 dB for this 64 kchip/s waveform
219
Chapter 9 Application of Digital Radio to HF Channel Characterisation
220
Figure 9-17 demonstrates the achieved Doppler performance of the sounder for 512 CIR Hanning a using window. measurements Power Spectral Density: 10.000 MHz, 2048-pt FFT
0 -10 CD m -20 N
-30
03
°
-40
ti
`) 0- -50 U) -60 CL
-70 -80 -40
-20
-30
0 10 -10 Frequency (kHz)
20
30
40
Figure 9-1-1 WHISPER Occupied Bandwidth (Waveform: tx1023-64r)
U 20 (1)
m -40 0 -60
-60
ppp-
0 DopplerFrequency (Hz)
5 20
"0
10
Delay Time (ms)
..,
n
Figure 9-15 WHISPER Back-to-back Test: Measurea Ainvi L1Iiº 220
Digital Radio Application 9 to HF Channel Characterisation of Chanter
221
0 -
-10
ACF Transmit Waveform CIR Back-to-Back PF Test
-20 0) M ai
-30
ö
0 -40
-50
-60
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
08
1
Delay Time (ms) Figure 9-16 WHISPER Back-to-Back
Test: Complex Impulse Response Resolution
0 -10 -20 - -30 m-40 -50 -60 -70 -80 90
0
-20
10 0 -10 Doppler Frequency (Hz)
20
30
Window) Hanning CIRs, Figure 9-17 Back-to-Back Test: Doppler Resolution (512
221
Chanter 9 Application of Digital Radio to HF Channel C'ha acta 150110/7
9.7
>
Suggestions for Improvements to the WHISPER Sounder
The following suggestions are made as to enhancements to WHISPER that would be beneficial.
9.7.1
Reduced Power Spectral Density Waveforms
The current sounding waveforms
are cyclically
repeated PN-sequences. Ho ý\ e\ er. this
be that the power spectrum means will a comb with peaks spaced at the PRF periodicity (Figure 9-18). The wideband nature of this sounder means that it often has to operate as (on is termed secondary a user a non-interference what
basis to other users).
By
known (to pseudo random modulating a code apply a 0° or 180° phase change applying to each sounding waveform repeat) it would be possible to spread the energy and reduce
the waveforms power spectral density (PSD) further. Given good synchronisation and knowledge of the code, this is a process that is reversible at the receiver. A randomising 8192 PRIs that could provide up to an additional 40 dB reduction in every repeated code PSD.
0 -1018
-20-30
Q -40 -50
N a Q-60J-70-
-80 -900
-150
-100
50 0 -50 Frequency (Hz)
100
150
200
' Waveform tower )pecirum Measured 'tx1023-6-Ir Figure 9-18 Centre of (PRF- 62.5 H::)
ýY)
Chapter 9 Application of Digital Radio to HF Channel Characterisation
9.7.2
Implementation
223
of a Chirp Sounder Capability
When making HF channel measurements it is very useful to have access to real-time ionogramsto allow interesting propagation conditions to be identified and im estigated. To increase the utility of the WHISPER sounder it would be possible to exploit the digital the transceiver platform to implement nature of multi-channel a second sounder that could operate in parallel with the primary pulse compression mode. In particular it implement be to useful particularly would a Chirp sounding function. The principal be implementing would a sweeping LO. This could be done by implementing challenge logic in the digital transceiver processing FPGA code in one of two «tays. The DDC NCO could be programmed at a rate sufficiently high to cause it to appear to sweep it Alternatively would be possible for the FPGA to re-program the DDC coherently. NCO to step in frequency every N samples and then for a final stage complex frequency translation to be implemented in software after the DDC.
9.8
Chapter Summary
This chapter has documented
the development
ionospheric sounder capable of undertaking time varying
complex
impulse
response.
sounder based on software radio techniques.
of WHISPER,
a new oblique HF
wideband measurements of the channel This is a low power pulse-compression It has been implemented as an application
on the wideband HF digital transceiver described in Chapter 7. The design of sounding waveforms suitable for an investigation over mid-latitude
Skywave propagation
back-to-back measurements sounder implementation
of wideband (-80 kHz) channel characteristics been has presented. channels
in the laboratory
and quantified
have confirmed
its achieved performance.
Results of RF
the veracity
of the
The next chapter
presents results and analysis of wideband measurements made on a 170 km path in the UK during spring 2001.
223
Chapter 10 Measurement of the Wideband HF Channel using WHISPER
224
Chapter 10.
Measurement of the Wideband HF Channel using WHISPER
Considerable effort has been expended in recent years to greatly increase HF data rates for beyond line of sight (BLOS) communications as the demand for improý ed throughput to support user applications grows. For the most part work has concentrated in increasing throughput conventional narrow-band HF channels (e.g. [Jorgenson, on 176]), but some researchers (e.g. [Elvy, 177]) have also investigated using much larger bandwidths. Further, whilst wideband HF propagation has been investigated previousl` (e.g. [Wagner, 178], [Vogler, 43]), there is still no accepted channel model that is able to describe both the large scale features (such as multiple modes, Doppler shift, Doppler for modem designers, the detailed time varying properties spread,etc) and, significantly of thesechannels such as inter- and intra- mode fading statistics [Sudworth, 179]. A new wideband
HF
sounder,
known
as WHISPER,
developed
specifically
to
investigate the fine structure of wideband HF channels was introduced in the previous chapter. This chapter details a series of wideband measurements made on a 170 km mid-latitude path using this sounder to verify its performance. be able to investigate
[Watterson,
whether the Watterson
A particular aim was to 12] uncorrelated Raleigh
fading model often used to represent narrowband (>>ýýrmuýýc Characterisation C of u Appendix ýý(*;,,, -r,f/ona/ HF Receiver
Signal Generator #1
a
4 6 dB COE r> Ü
Signal Generator #2
'
2-30 MHz RF Input
Racal HF Receiver
14 MHz IF Output
FFT Analysis
6dB
Figure U-4 Cxperimenrur t- onligurculon to :ºieasure Keceiver Blocking Dm. numic Range for different test the The result of
interferer powers is reproduced in Figure C-5. The
be 14 dB figure (see above) which is a noise floor to measured was RA3701 noise of dBm/Hz. As can be seen the receiver starts to be de-sensitised ý\hen the interferer -160 increase in dBrn level and any unwanted signal this of above power a \aloe -12 reaches in Hence [3[)R is in the sensitivity. reduction receiver commensurate a results dBm dBm) is between BUR difference I1I dB (the and dB/Hz which a of 148 -12 -160
in a standard 3 kHz bandwidth. good sensitivity
(noise floor
It is therefore concluded that a digital receiver«ith
< -155 dBm) and a zero attenuation clipping level of'
blocking (i. have dBm performance. comparable) e. acceptable an will around -10
274
C Characterisation of a High Pet fugý>>,,, Co ýýýPower Spectral Density, FFT Sze
1024 points
P°
0
-10 50 dB SINAD 2
48 dB SINAD -30
-40
a°
-50
WryMNºri
ý'
-60
60
ä
Sze 1024 pyn%s
-20-
m -30
O
Scectrai Density,
'-ý
-10,
-20
T
ý7ulHFRecaýiiýcýiý
G0
-60
-70
1 Cl-
a
-80
-70 -80
-90 400 -600
400
-200
a. -110 dBm10 MHz wanted
0
200
400
-90 -600
600
Frequency (Hz)
signal, no interferer
b.
-000
-200
0 Frequency (l
200
400
)
Soo
-110 dBm10 MHz wanted signal, -10 dBm 25 MHz inte serer
PowerSpectralDensity,FFT Size: 1024points
PowerSpectralDensityFFTS¢e 1024 pwnts
'OF
-10
30 dB SINAD
38 dB SINAD --20
m
m
ý. , u1'ri*"ýYI"tly"1ýi '1'ýt+
-30 40
++^{ý f.;
w
C, -00Yr.
50 -00 60 a
-60 -70 -10 -80 80 00 r Fe"""y
C.6
L-J
D1ocn[Y[grerfurrr[ur1u
-200
'"''
interferer 25 MHz 0 dBm MHz dBm10 signal, wanted c. -110 rlgure
apt
1VWWUJUrcu
0 Frequency (Ftr)
200
400
600
d. -110 dBm10 MHz wanted signal, +10 dBm 25 MHz interferer u[
1. -t IVLlL.
IF
vulpU1
of
LCHJ
v1
AeLe(Ver
Instantaneous Dynamic Range
The receiver's instantaneous dynamic range (IDR) was characterisedby measuringthe tone input from on-channel a single the of power signal the receiver as output power the The dBm. with 0 made dBm were between measurements and was varied -120 for IF settings gain IF in repeated and mode gain receiver a manually controlled IDR indicate of C-6) a maximum between25 and 250 (no units). The results (Figure dB (depending on the gain setting). -75
27;
ix C Characterisation of a (High Pertormance ('onl,
e,.
2h
0 -10
-20 ^, -30 a, co -40 0 CL -50 a 0 -60
-70
-80
-90 ---120
-100
-80
-60 Input Power (dBm)
-40
-20
0
Figure C-6 Measured Instantaneous Dynamic Range (IDR) of RA3 -01 Receiver /r a Range of IF Gain Se'tili7 \
C.7
Image Rejection
The RA3701's
ability
to reject a strong out-of-band signal at the first mixer image
frequency was measured.
In this receiver the 1Stmixer image rejection is all due to the
receiver's front end filtering experimental configuration
ahead of the mixer. The measurement was made using the in Figure C-4. It was found that with the receiver tuned to
10 MHz, a dBm interferer applied at 92.7995 MHz produces an image signal in the -8 receiver IF pass band having an equivalent signal strength to a wanted -118 dBm signal at 10.001 MHz.
This is illustrated
in Figure C-7.
Note that, due to the receiýer's So, the receiver front end
frequency plan the 1.4 MHz
IF is inverted in frequency).
filter provides an effective
110 dB of rejection (the difference between the signal
powers).
dB 110 of filter that provides digital a receiver with an anti-aliasing the least as good as rejection in the second Nyquist zone will provide performanceat frequencies image high quality of Additional attenuation commercial receiver tested. It frequency response. in installation's will, many cases, be provided by the HF antenna design filter is concluded that the low anti-aliasing pass the performance required of It is concluded that
, 76
Characterisation High C Performance of a Conventional .. deceiver ndix n/' to equivalent achieve performance to a good conventional required recei\er is less challenging than may have initially been somewhat anticipated. Power Spectral Density, FFT Size, 1024 paints --
0
-_' ------------
1 a¢e
1024 pones
-118 dBm Wanted Signal
-10
-8 dBm Tage S 3ýa -20 m m
m
ýi%: -30
ä
r*K
ýlyýý l '4M
'o SO
-60 -
a
-70
2000
a.
-1500
0 500 -500 Frequency (Hz)
-1000
1000
1500
AO -2000
2000
dB 10.001 MHz wanted signal, no interferer -118
b
1,
1500
-1000
-500
-118 dB 10.001 MHz wanted signal -8 dBm 92 7995 MHz interferer
Figure C-7 Measured Irrage Rejection of
C.8
X50:
43-01 Receiver 1" 1lixer" .
Summary of Super-heterodyne Performance
The performance of the RA3701
front is RF end summarised in Table ('-I. receiver
The measured results are compared with the published specification I Racal, 1041. Parameter
Specification (RF Pre-amp off)
Specification
Measured
(RF Pre-amp on)
(RF Pre-amp off)
Noise figure
IP3JN IP21N Blocking Dynamic Range InstantaneousDv namic Range Image Rejection Reciprocal Mixing (1" LO Phasenoise)
1-I dB
IU dB
14 dB
+32 dBm
+'_SdBm
+30 dBm
Not specified
Not specified
+57dBm
Not specified
Not specified
113dB (3 kHz) 148dB (I Hz)
Not specified
Not specified
75 dB
>90 dB
>90 dB
110dB
ii 20 kHz dBc -96 offset 106 dBc sir 80 kHz offset
-96
dBc ii 20 kHz
d Not measure
offset dBc at 80 kHz 106 offset
Table C-1 Racal RA3701 High I'erjormance iii ýýý«-
1 ,,
Noise Figure Lineari System 1ý and ý >>encü.
Intermodulation
Appendix D. System Noise Figure and Linearity (Intermodulation)
, -ý _ý
D System Noise Figure and Lineari ýi
Introduction
D, 1
This appendix provides a summary of a number of key conceptsand equations relied body in the thesis the of relating to the sensitivity (noise floor) upon and linearit\ of devicesand systems.
Thermal Noise Power and Noise Figure
D,2
Thermal noise is generated as a result of the thermally excited random motion of free in It a conducting medium. can be shown [e.g. Stremler. 61 electrons p199] that an\ have device floor will a noise which cannot be less than that due to practical the in thermal noise power generated a matched voltage source. This thermal equivalent
is density, by: given power noise Thermal Noise Power Density =101og10(kTO)
dBIV/ 11_
(D-1)
where k
is Boltzmann's constant (1.38x10-23J/K); and
To
is the system temperature in degreesKelvin.
Any practical device will generate a higher level of noise than this. For convenience this additional noise is related to the thermal noise power at the device input b\ the noisefigure, NF: NF=1+T
(D- )
T.
where T e
is the effective noise temperature of the device.
NF is unit-less and commonly expressed in decibels.
D.3
Devices Cascaded System Noise Figure - Noise Figure of
ý\hole a as figure system of a It is useful to be able to calculate the composite noise noise The cascaded D-1). (Figure from the parameters it devices up making of the figure is given by:
ý1 ^ ýý
D System Noise Figure and Linearity (Inte
NF
NF, + = ,()l
NF2 -1 G
+
NF3-1 G, G
I
1
ý +F
where NF
is the noise figure of the nth cascadeddevice: and
(;,,
is the gain of the n'th cascadeddevice.
Note that this calculation must use the linear noise figure and gain values. A general in is that most practical systems the impact of the earliest observation stagesoil o\erall is figure the greatest. noise
IP3,,,,
º
Stage1º
Stage2º
Stage3-------
NF,
AT
G,
G,
G,
1P31
1P3,
IP;:
StageNº
11'?.
Figure D-1 Noise Figure and Intercept Point of a Si°stemof Cascaded/Devices
D.4
Harmonic
Intermodulation and
Characteristics of non-Linear
Devices Signalprocessing devices, such as amplifiers and mixers, are non-linearto at least, Once degreeand may in many cases be characterised as having a transfer function of the form: K, x(t)+KxI y(t) =
(t)+K3x`(t)+...
Kx" (1)
(D-1)
form: the If sucha device is excited by two signals simultaneously of 0) A, t + A, cos((O, cos((t),t) + x(t) =
(D-5
of The significant most thenan output will be generated including all possible products. identifies): theseare (obtained by expansion using trigonometric O)ý [A, i A, + cos(&, K, cos(co,t) +
M-61
which representthe first order terms,
280
ix D System N
Linearitv (Inte i
NF(Y)7= NF +
NFZ
NF3 XF -1 -1 + 7G, -+... G, G; G, G
-1 G,
, ýI)-.,
where NF
is the noise figure of the n'th cascadeddevice: and
G
is the gain of the n'th cascadeddevice.
must use the linear noise figure and gain \alues. A general in most practical systems the impact is that observation of the earliest stageson o\erall is figure the greatest. noise
Note that this calculation
º
Stage 1
º
Stage 2
1P3,,,.
º
Stage 3
AT,
NE.
AF,
C
C,
C,
1P3,
1P32
IP3
--_
____
StageN
\F, IP3
Figure D-1 Noise Figure and Intercept Point of cr Svstemof CaccadedDc'vccs ,
D.4
Harmonic
Intermodulation and
Characteristics of non-Linear
Devices Signal processing devices, such as amplifiers and mixers, are non-linear to at least some degree and may in many cases be characterised as having a transfer function of the form:
' K,, (t) K3x' (t) K, (t) K, +... x, + x' x(t) + y(t) = form: the If sucha device is excited by two signals simultaneously of 0) A, t + cos((t), x(t) = A, cos((i), t) +
(D-5)
of The significant most products.
thenan output will be generated including all possible identifies): theseare (obtained by expansion using trigonometric O)] [A, t + A, cos((0, K, cos(w, t) +
M
which representthe first order terms,
280
D System Noise Figure and Lineari -lJ)t)endix 'ýl
K2
'2 cos(2co, i)
K, A2 cos(2wzt + 20)
2z
(D-1
K2A, Az cos[w,t
-w2(t+q$)]
K2A1A, cos[w,t+wz(t+O)] the second order terms, and represent which 3K3A 4
cos(3w1t)
3K3AZ 4
cos(3wzt) (D-8)
3K3A12A2 cos[2w,t±co 2(t+o)1 4 3K3A1A;
4
cos[2w2(t + 0) ±w t]
the most significant third order terms. In many cases the remaining 3`dand higher order
termsare negligible and may be ignored. It can immediately be seen from the above that as the power of the input signalsis increasedthe resulting harmonics and intermodulation distortion (IMDs) productswill have different slopes according to their order. Secondorder productsfollow a square law increasing in power by 2 dB per dB increase in the input power. Third orderterms increaseby 3 dB/dB.
Hence the concept of an intercept point can be evoked to
characterisethe power level at which the intermodulation productsmll theoretically havethe same power as the fundamental outputs (Figure D-2). The interceptpoint can being intercept be referenced to the devices input or output, the output point merely factoredby the device power gain. This is a point that cannotusually be reachedasa device will normally go into compression first (where the fundamentaloutputsno is measured longerlinearly increase commonly Intercept point input the signal). with to a applied are tones. form power two, using a two tone test. In its simplest same intercept order Then. the n'th systemand the resulting IMD products are measured. ]: 101 point(referencedto the input) can readily be calculated [Kundert. sI
m Noise Figure and Linearit
Intermodulation ý`,
IMD IPn, = PIN+n_1 N
dBm
,Iv,
where PIN
is the input power of each of the two tones (dBm ); and
IMD,
is the power of an n'th order IMD product relative to a fundamental (dBc).
(P1) is defined dB point l as the point at which the output is 1 dB The compression for linear operation. that to expected reduced intercept directly being measurable, points provide a keß measureof the Despite not device Given figure. device. the free noise the dNnamic a of spurious performance be is SFDR defined free the calculated. (SFDR) readily as can spurious signal range 3`d floor intermodulationproducts the to the from at point which the order noise range floor. exceedthe noise
ýý, -ý
Appendix D System Noise Figuiv
2nd Order Intercept Point (Slope: 2 dB/dB) 3rd Order Intercept Point (Slope: 3 dB/dB) 1 dB Compression Point
1 dB
Output Saturation
a-
O Fundamental (Slope: 1 dB/dB)
Input Power (dBm)
Figure D-2 Response of a non-Linear Device showing Compression and Extrapolated Intercept Points
D.5
System Intercept Point - Cascaded Non-Linear Devices
The intercept point of a system due to that of the cascadeddevicesmakingit up (Figure D-1) is given by: G2Gi
I=1+G, "INI
'
IPIN2
+
IP/N3
G3G2Gj + IPIN4 +...
(D-10)
TOT
where "IN,
is the input intercept point of the n'th cascadeddevice;and
G
is the power gain of the n'th cascadeddevice.
2S
Figure and Linearity (Intermodulation) Noise System D Appendix
,, ý
linear for the terms to intercept is it use gain and necessary Note that point (ratherthan in A the equation. above is general decibel observation in equivalent) that , stems their later has the bi 1MD of stages impact can the performance e the t iý
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