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    Signal Processing for Joint Radar Communications

    AvKumar Vijay Mishra,Kumar Vijay Mishra

    Inbunden, Engelska, 2024

    Del i serien IEEE Press

    1 512 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    A one-stop, comprehensive source for the latest research in joint radar-communicationsIn 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 JRCComprehensive explorations of JRC processing via matrix completion, interference mitigation techniques, and jamming and clutter in JRCPractical discussions of information-theoretic aspects of JRC, optimization aspects of JRC, and JRC resource allocationIn-depth examinations of cognition and JRC, automotive JRC, and dual-function radar communicationsPerfect 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.

    Produktinformation

    • Utgivningsdatum:2024-04-09
    • Mått:262 x 184 x 30 mm
    • Vikt:1 134 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:IEEE Press
    • Antal sidor:448
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781119795537

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Systemvetenskap och AI inom Data och IT

    Mer om författaren

    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.

    Innehållsförteckning

    • List of Editors xviList of Contributors xviiForeword xxiPreface xxiiAcknowledgments xxviiPart I Fundamental Limits and Background 11 A Signal Processing Outlook Toward Joint Radar-Communications 3Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn Ottersten, and A. Lee Swindlehurst1.1 Introduction 31.2 Policy and Licensing Issues 51.3 Legal Challenges 51.4 Agency-Driven Projects 61.5 Channel Considerations 71.6 JRC Coexistence 151.7 JRC Co-Design 161.8 Emerging JRC Applications 281.9 Open Problems and Summary 30References 312 Principles of Radar-Centric Dual-Function Radar-Communication Systems 37Aboulnasr Hassanien and Moeness G. Amin2.1 Background 372.2 DFRC System Model 392.3 DFRC Using Fixed Radar Waveforms 422.4 DFRC Using Modulated Radar Waveforms 492.5 DFRC Using Index Modulation 532.6 Challenges and Future Trends 58References 583 Interference, Clutter, and Jamming Suppression in Joint Radar–Communications Systems – Coordinated and Uncoordinated Designs 61Jeremy Johnston, Junhui Qian, and Xiaodong Wang3.1 Introduction 613.2 Joint Design of Coordinated Joint Radar–Communications Systems 633.3 Interference Suppression in Uncoordinated Joint Radar–Communications Systems 733.4 Conclusion 85References 854 Beamforming and Interference Management in Joint Radar–Communications Systems 89Tuomas Aittomäki, Yuanhao Cui, and Visa Koivunen4.1 Introduction 894.2 System Overview 934.3 JRC Beamforming 964.4 Multicarrier Waveforms for JRC 1064.5 Precoder Design for Multiple JRC Users 1124.6 Summary 123List of Symbols 124References 1265 Information Theoretic Aspects of Joint Sensing and Communications 130Mari Kobayashi and Giuseppe Caire5.1 Introduction 1305.2 Information Theoretic Model 1315.3 Fundamental Trade-off Between Sensing and Communications 1335.4 Application to Joint Radar and Communications 1395.5 Concluding Remarks 1455.A Proof of Theorem 5.1 1475.B Proof of Theorem 5.2 149Acknowledgment 150References 150Part II Physical-Layer Signal Processing 1556 Radar-aided Millimeter Wave Communication 157Nuria González-Prelcic, Anum Ali, and Yun Chen6.1 Motivation for Radar-aided Communication 1576.2 Radar-aided Communication Exploiting Position Information 1596.3 Radar-aided Communication Exploiting Covariance Information 1636.4 Challenges and Opportunities 174References 1757 Design of Constant-Envelope Radar Signals Under Multiple Spectral Constraints 178Augusto Aubry, Jing Yang, Antonio DeMaio, Guolong Cui, and Xianxiang Yu7.1 Introduction 1787.2 System Model and Problem Formulation 1807.3 Radar Waveform Design Procedure 1847.4 Performance Analysis 1937.5 Conclusion 1967.A Appendix 196References 2038 Spectrum Sharing Between MIMO Radar and MIMO Communication Systems 207Bo Li and Athina P. Petropulu8.1 Introduction 2078.2 MIMO Radars Using Sparse Sensing 2108.3 Coexistence System Model 2178.4 Cooperative Spectrum Sharing 2208.5 Numerical Results 2318.6 Conclusions 237References 2379 Performance and Design for Cooperative MIMO Radar and MIMO Communications 244Qian He, Zhen Wang, Junze Zhu, and Rick S. Blum9.1 Introduction and Literature Review 2449.2 Cooperative CERC System Model 2509.3 Hybrid Active–Passive Cooperative CERC MIMO Radar System 2529.4 Radar-aided MIMO Communications in Cooperative CERC System 2609.5 Cooperative Radar and Communications System Co-design 2649.6 Conclusions 268References 269Part III Networking and Hardware Implementations 27510 Frequency-Hopping MIMO Radar-based Data Communications 277Kai Wu, Jian A. Zhang, Xiaojing Huang, and Yingjie J. Guo10.1 Introduction 27710.2 System Diagram and Signal Model 27910.3 Practical FH-MIMO DFRC 28210.4 Discussion 289References 29211 Optimized Resource Allocation for Joint Radar-Communications 295Ammar Ahmed and Yimin D. Zhang11.1 Introduction 29511.2 Single Transmitter-Based JRC System 29711.3 Transmit Array-Based JRC System 30311.4 Distributed JRC System 30811.5 Conclusions 315References 31612 Emerging Prototyping Activities in Joint Radar-Communications 319M. R. Bhavani Shankar, Kumar Vijay Mishra, and Mohammad Alaee-Kerahroodi12.1 Motivation 31912.2 Prototyping: General Principles and Categorization 32012.3 JRC Prototypes: Typical Features and Functionalities 32212.4 JRC Prototyping 32612.5 Coexistence JRC Prototype 32812.6 Other JRC Prototypes 34012.7 Conclusion 343References 34313 Secrecy Rate Maximization for Intelligent Reflective Surface-Assisted MIMO Communication Radar 346Sisai Fang, Gaojie Chen, Sangarapillai Lambotharan, Cunhua Pan, and Jonathon A. Chambers13.1 Introduction 34613.2 System Model 34913.3 System Optimizations 35213.4 Simulation Results 35913.5 Conclusion 36313.A Appendix 363References 36414 Privacy in Spectrum Sharing Systems with Applications to Communications and Radar 367Konstantinos Psounis and Matthew A. Clark14.1 Introduction 36714.2 Spectrum Sharing Systems 36914.3 User Privacy in Spectrum Sharing 37214.4 Optimal Privacy and Performance 37614.5 Practical Privacy Preservation 37814.6 Spectrum Sharing Case Studies with Radar Primary Users 38114.7 Summary and Future Directions 396References 397Epilogue 401Index 403