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The goal of this book is to further contribute to the diffusion of newly developed JRC tools into the radar and communications communities and to illustrate recent successes in applying modern signal processing theories to solving core problems in JRC. The contributors present new results on algorithmic methods and applications of JRC in diverse areas, which include autonomous vehicles, waveform design, information theory, privacy, security, beamforming, estimation theory, and sampling. This reflects the increasing number of applications in signal processing and communications. Research activities covered in the book include recognizing and solving convex optimization problems that arise in applications, deriving powerful algorithmic methods, utilizing the theory of convex problems to characterize and gain insight into the optimal solution and bounds on performance, developing techniques for exploiting problem structure in interior-point methods for large scale optimization, and convex relaxations of hard, non-convex problems
Kumar Vijay Mishra received his Ph.D. degree in Electrical and Computer Engineering and is currently a National Academies Harry Diamond Distinguished Fellow at the US Army Research Laboratory, Adelphi, USA. He has received awards from the IEEE and the Royal Meteorological Society and received the Andrew and Erna Finci Viterbi Postdoctoral Fellowship in 2015 and 2016, and the Lady Davis Postdoctoral Fellowship in 2016.
Bhavani Shankar M. R. received his Ph. D degree in Electrical Communication Engineering from the Indian Institute of Science, Bangalore and is currently a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg. He was a corecipient of the 2014 Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society.
Björn Ottersten received his Ph.D. degree in Electrical Engineering from Stanford University, Stanford, CA, USA and is a Professor in the Department of Information Science and Engineering, at the Royal Institute of Technology (KTH), Stockholm. He was a recipient of the IEEE Signal Processing Society Technical Achievement Award in 2011 and twice a recipient of the European Research Council Advanced Research Grant from 2009 to 2013 and from 2017 to Present.
A. Lee Swindlehurst received his Ph.D. degree in Electrical Engineering from Stanford University and is currently a Professor in Electrical Engineering and Computer Science at The Henry Samueli School of Engineering, University of California, Irvine, USA.
Dedication
List of Editors
List of Contributors
Preface
Acknowledgements
1. A Signal Processing Outlook Toward Joint Radar-Communications
Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn Ottersten, and A. Lee Swindlehurst
2. Principles of Dual-Function Radar-Communication Systems
Aboulnasr Hassanien and Moeness G. Amin
3. Interference, Clutter, and Jamming Suppression in Joint Radar-Communications Systems: Coordinated and Uncoordinated Designs
Jeremy Johnston, Junhui Qian, and Xiaodong Wang
4. Beamforming and Interference Management in Joint Radar-Communication Systems
Tuomas Aittomäki, Yuanhao Cui, and Visa Koivunen
5. Information Theoretic Aspects of Joint Sensing and Communications
Mari Kobayashi and Giuseppe Caire
6. Radar-aided Communication
Nuria González-Prelcic, Anum Ali, and Yun Chen
7. Design of Constant Envelope Radar Signals Under Multiple Spectral Constraints
Augusto Aubry, Jing Yang, Antonio De Maio, Guolong Cui, and Xianxiang Yu
8. Spectrum Sharing Between MIMO Radar and MIMO Communication
Bo Li and Athina P. Petropulu
9. Performance and Design for Cooperative MIMO Radar and MIMO Communications
Qian He, Zhen Wang, Junze Zhu, and Rick S. Blum
10. Frequency-Hopping MIMO Radar-based Data Communications
Kai Wu, J. Andrew Zhang, Xiaojing Huang, and Y. Jay Guo
11. Optimized Resource Allocation for Joint Radar-Communications
Ammar Ahmed and Yimin D. Zhang
12. Emerging Prototyping Activities in Joint Radar-Communications
M. R. Bhavani Shankar, Kumar Vijay Mishra, and Mohammad Alaee-Kerahroodi
13. Secrecy Rate Maximization for Intelligent Reflective Surface Assisted MIMO Communication
Sisai Fang, Gaojie Chen, Sangarapillai Lambotharan, Cunhua Pan, and Jonathon A. Chambers
14. Privacy in Spectrum Sharing Systems with Applications to Communications
Konstantinos Psounis and Matthew A Clark
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