Print Friendly Search Results

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, Bjr̲n 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 Aittomk̃i, 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 Gonzl̀ez-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.

"Radar is an established but also growing field. The global radar market size was valued at $32.56 billion in 2019, and is projected to reach $49.43 billion by 2027, to register a CAGR of 3.80% from 2020 to 2027 (Allied Market Research). Next generation communications and radar systems will need to service a rapid increase in connected devices and users. Both systems need wide bandwidth to provide a designated quality-of-service thus resulting in competing interests in exploiting the spectrum. Whereas high-resolution detection of radar targets requires large transmit signal bandwidths, modern communications systems need wider spectrum to support more users and high data rates. The resulting dire challenges in utilizing the frequency spectrum, which is a scarce natural resource, has led researchers to seek novel solutions in designing both systems to jointly access the spectrum without interfering in each other's operations and performance. Initially confined to military applications at S-band, spectrum sharing now encompasses all major sensing and communications frequencies. Indeed, the spectral crowding is defining a new age of synergistic design of communications and radar systems that share common spectral and hardware resources. These joint radar-communications (JRC) systems have advantages of low-cost, compact size, less power consumption, spectrum sharing, improved performance, and safety due to enhanced information sharing. The SP techniques are critical in implementation of JRC systems. Major challenges are joint waveform design, receive processing, deployment of novel multiple-input-multiple-output (MIMO) arrays, and performance criteria that would optimally trade-off between communications and radar functionalities. There are opportunities to exploit recent advances in optimization, cognition, compressed sensing, game theory, and machine learning to reduce required resources and dynamically allocate them with low overheads. These advances in JRC SP have begun impacting various applied fields, where computational efficiency and the ability to deal with large systems and uncertainties is of paramount importance. The engineering community has benefited from these recent advances by pursuing applications of this rapidly growing field, such as autonomous driving, drone-based customer services, Internet-of-Things, radio-frequency identification, military surveillance, and next-generation wireless communications. The JRC has also fueled the mathematical development of both SP theory and efficient algorithms. In the next 5 years, the above-mentioned problem-specific challenges are going to be the primary drivers of this rapidly growing field. Newly developed JRC tools introduce powerful theories that often lead to further insight into the optimal solution of various radar and communication problems such as interference management, joint waveforms, resource allocation, and learning-based processing, that did not arise when analyzed as stand-alone designs. There remain many open JRC problems toward attaining seamless interference free operation, attaining full cognitive abilities, and efficient use of limited resources. At the same time, current advances in JRC are a precursor to emerging frontiers of employing Terahertz frequencies and intelligent surfaces for JRC. In this context, this book is extremely topical and useful for SP researchers working on cutting-edge problems."-- Provided by publisher.

Library	Material Type	Item Barcode	Shelf Number	[[missing key: search.ChildField.HOLDING]]	Status
Online Library	E-Book	599040-1001	TK5102.9 .S5426 2024		Wiley E-Kitap Koleksiyonu