A one-stop, comprehensive source for the latest research in joint radar-communications
In Signal Processing for Joint Radar-Communications, a trio of eminent electrical engineers delivers a practical and informative contribution to the diffusion of newly developed joint radar-communications (JRC) tools into the radar and communications communities and to illustrate recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithmic methods and applications of JRC in diverse areas, including autonomous vehicles, waveform design, information theory, privacy, security, beamforming, estimation theory, and sampling.
The distinguished editors bring together contributions from leading JRC researchers working in radar systems, remote sensing, electromagnetics, optimization, and signal processing. The included resources provide an in-depth mathematical treatment of relevant signal processing tools and computational methods allowing readers to take full advantage of JRC systems.
Readers will also find:
- Thorough introductions to joint radar-communications theory and applications, joint precoding and beamforming, and communications-based JRC
- Comprehensive explorations of JRC processing via matrix completion, interference mitigation techniques, and jamming and clutter in JRC
- Practical discussions of information-theoretic aspects of JRC, optimization aspects of JRC, and JRC resource allocation
- In-depth examinations of cognition and JRC, automotive JRC, and dual-function radar communications
Perfect for researchers and professionals in the fields of radar, signal processing, communications, and electronic warfare, Signal Processing for Joint Radar-Communications will also earn a place in the libraries of engineers working in the defense, aerospace, and automotive industries.
Table of Contents:
List of Editors xvi
List of Contributors xvii
Foreword xxi
Preface xxii
Acknowledgments xxvii
Part I Fundamental Limits and Background 1
1 A Signal Processing Outlook Toward Joint Radar-Communications 3
Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn Ottersten, and A. Lee Swindlehurst
1.1 Introduction 3
1.2 Policy and Licensing Issues 5
1.3 Legal Challenges 5
1.4 Agency-Driven Projects 6
1.5 Channel Considerations 7
1.6 JRC Coexistence 15
1.7 JRC Co-Design 16
1.8 Emerging JRC Applications 28
1.9 Open Problems and Summary 30
References 31
2 Principles of Radar-Centric Dual-Function Radar-Communication Systems 37
Aboulnasr Hassanien and Moeness G. Amin
2.1 Background 37
2.2 DFRC System Model 39
2.3 DFRC Using Fixed Radar Waveforms 42
2.4 DFRC Using Modulated Radar Waveforms 49
2.5 DFRC Using Index Modulation 53
2.6 Challenges and Future Trends 58
References 58
3 Interference, Clutter, and Jamming Suppression in Joint Radar–Communications Systems – Coordinated and Uncoordinated Designs 61
Jeremy Johnston, Junhui Qian, and Xiaodong Wang
3.1 Introduction 61
3.2 Joint Design of Coordinated Joint Radar–Communications Systems 63
3.3 Interference Suppression in Uncoordinated Joint Radar–Communications Systems 73
3.4 Conclusion 85
References 85
4 Beamforming and Interference Management in Joint Radar–Communications Systems 89
Tuomas Aittomäki, Yuanhao Cui, and Visa Koivunen
4.1 Introduction 89
4.2 System Overview 93
4.3 JRC Beamforming 96
4.4 Multicarrier Waveforms for JRC 106
4.5 Precoder Design for Multiple JRC Users 112
4.6 Summary 123
List of Symbols 124
References 126
5 Information Theoretic Aspects of Joint Sensing and Communications 130
Mari Kobayashi and Giuseppe Caire
5.1 Introduction 130
5.2 Information Theoretic Model 131
5.3 Fundamental Trade-off Between Sensing and Communications 133
5.4 Application to Joint Radar and Communications 139
5.5 Concluding Remarks 145
5.A Proof of Theorem 5.1 147
5.B Proof of Theorem 5.2 149
Acknowledgment 150
References 150
Part II Physical-Layer Signal Processing 155
6 Radar-aided Millimeter Wave Communication 157
Nuria González-Prelcic, Anum Ali, and Yun Chen
6.1 Motivation for Radar-aided Communication 157
6.2 Radar-aided Communication Exploiting Position Information 159
6.3 Radar-aided Communication Exploiting Covariance Information 163
6.4 Challenges and Opportunities 174
References 175
7 Design of Constant-Envelope Radar Signals Under Multiple Spectral Constraints 178
Augusto Aubry, Jing Yang, Antonio DeMaio, Guolong Cui, and Xianxiang Yu
7.1 Introduction 178
7.2 System Model and Problem Formulation 180
7.3 Radar Waveform Design Procedure 184
7.4 Performance Analysis 193
7.5 Conclusion 196
7.A Appendix 196
References 203
8 Spectrum Sharing Between MIMO Radar and MIMO Communication Systems 207
Bo Li and Athina P. Petropulu
8.1 Introduction 207
8.2 MIMO Radars Using Sparse Sensing 210
8.3 Coexistence System Model 217
8.4 Cooperative Spectrum Sharing 220
8.5 Numerical Results 231
8.6 Conclusions 237
References 237
9 Performance and Design for Cooperative MIMO Radar and MIMO Communications 244
Qian He, Zhen Wang, Junze Zhu, and Rick S. Blum
9.1 Introduction and Literature Review 244
9.2 Cooperative CERC System Model 250
9.3 Hybrid Active–Passive Cooperative CERC MIMO Radar System 252
9.4 Radar-aided MIMO Communications in Cooperative CERC System 260
9.5 Cooperative Radar and Communications System Co-design 264
9.6 Conclusions 268
References 269
Part III Networking and Hardware Implementations 275
10 Frequency-Hopping MIMO Radar-based Data Communications 277
Kai Wu, Jian A. Zhang, Xiaojing Huang, and Yingjie J. Guo
10.1 Introduction 277
10.2 System Diagram and Signal Model 279
10.3 Practical FH-MIMO DFRC 282
10.4 Discussion 289
References 292
11 Optimized Resource Allocation for Joint Radar-Communications 295
Ammar Ahmed and Yimin D. Zhang
11.1 Introduction 295
11.2 Single Transmitter-Based JRC System 297
11.3 Transmit Array-Based JRC System 303
11.4 Distributed JRC System 308
11.5 Conclusions 315
References 316
12 Emerging Prototyping Activities in Joint Radar-Communications 319
M. R. Bhavani Shankar, Kumar Vijay Mishra, and Mohammad Alaee-Kerahroodi
12.1 Motivation 319
12.2 Prototyping: General Principles and Categorization 320
12.3 JRC Prototypes: Typical Features and Functionalities 322
12.4 JRC Prototyping 326
12.5 Coexistence JRC Prototype 328
12.6 Other JRC Prototypes 340
12.7 Conclusion 343
References 343
13 Secrecy Rate Maximization for Intelligent Reflective Surface-Assisted MIMO Communication Radar 346
Sisai Fang, Gaojie Chen, Sangarapillai Lambotharan, Cunhua Pan, and Jonathon A. Chambers
13.1 Introduction 346
13.2 System Model 349
13.3 System Optimizations 352
13.4 Simulation Results 359
13.5 Conclusion 363
13.A Appendix 363
References 364
14 Privacy in Spectrum Sharing Systems with Applications to Communications and Radar 367
Konstantinos Psounis and Matthew A. Clark
14.1 Introduction 367
14.2 Spectrum Sharing Systems 369
14.3 User Privacy in Spectrum Sharing 372
14.4 Optimal Privacy and Performance 376
14.5 Practical Privacy Preservation 378
14.6 Spectrum Sharing Case Studies with Radar Primary Users 381
14.7 Summary and Future Directions 396
References 397
Epilogue 401
Index 403
About the Author :
Kumar Vijay Mishra, PhD, is a Senior Fellow at the United States CCDC Army Research Laboratory, Adelphi, USA. He received his PhD from The University of Iowa, Iowa City, USA in 2015 and is the co-editor of four upcoming books on radar.
M. R. Bhavani Shankar, PhD, is an Assistant Professor at the University of Luxembourg where he will be heading the SPARC research group. He received his PhD from Indian Institute of Science and has over 200 publications in wireless and satellite communications as well as radar.
Bjorn Ottersten, PhD, is Professor of Electrical Engineering at KTH, Royal Institute of Technology, Stockholm, Sweden. He received the PhD from Stanford University in 1990 and has over 900 publications on topics in signal processing, wireless communications, and radar.
A. Lee Swindlehurst, PhD, is Professor of Electrical Engineering and Computer Science at the University of California Irvine. He received the PhD from Stanford University in 1991, and has over 350 publications on topics in signal processing, wireless communications and radar.
