Signal Processing for Joint Radar Communications
A one-stop, comprehensive source for the latest research in joint radar communications
In Signal Processing for Joint Radar Communications, four eminent electrical engineers deliver a practical and informative contribution to the diffusion of newly developed joint radar communications (JRC) tools into the sensing and communications communities. This book illustrates recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithms and applications of JRC from diverse perspectives, including waveform design, physical layer processing, privacy, security, hardware prototyping, resource allocation, and sampling theory.
The distinguished editors bring together contributions from more than 40 leading JRC researchers working on remote sensing, electromagnetics, optimization, signal processing, and beyond 5G wireless networks. 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 fundamental limits and background on JRC theory and applications, including dual-function radar communications, cooperative JRC, distributed JRC, and passive JRC Comprehensive explorations of JRC processing via waveform analyses, interference mitigation, and modeling with jamming and clutter Practical discussions of information-theoretic, optimization, and networking aspects of JRC In-depth examinations of JRC applications in cutting-edge scenarios including automotive systems, intelligent reflecting surfaces, and secure parameter estimation
Perfect for researchers and professionals in the fields of radar, signal processing, communications, information theory, networking, and electronic warfare, Signal Processing for Joint Radar Communications will also earn a place in the libraries of engineers working in the defense, aerospace, wireless communications, and automotive industries.
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
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. Björn 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.
