In the last five years, significant developments and applications have been made within radar communications. Signal Processing for Joint Radar-Communications delves into the recent advances within the theory and applications of joint radar-communications (JRC) and includes the challenges that are still faced today. Bringing together newly written expert contributions from leading researchers within the field of Joint Radar-Communications, the book tackles key JRC signal processing challenges such as common waveform design for both radar and communications systems, receiver processing including interference mitigation methods, learning and cognition, resource allocation, jamming and clutter, optimization methods, and automotive JRC. It presents possible solutions to these challenges and highlights some future research directions. 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
About the Author:
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.
