Next-Generation Cognitive Radar Systems

Kumar Vijay Mishra is a senior fellow with the United States DEVCOM Army Research Laboratory (ARL), Adelphi, USA. His research interests include radar systems, signal processing, remote sensing, and electromagnetics. He is the recipient of several prestigious fellowships and awards including the US National Academies ARL Harry Diamond Distinguished Fellowship, Viterbi Fellowship, and IET Premium Award. He is chair (2023-2026) of the International Union of Radio Science (URSI) Commission C.Bhavani Shankar M.R. is currently assistant professor at the Interdisciplinary Centre for Security, Reliability and Trust at The University of Luxembourg. His research interests include design and optimization of MIMO communication systems, automotive radar and array processing, polynomial signal processing, and satellite communication systems. He was a co-recipient of the 2014 Distinguished Contributions to Satellite Communications Award, from the Satellite and Space Communications Technical Committee of the IEEE Communications Society.Muralidhar Rangaswamy is the technical lead for radar sensing at the Sensors Directorate of the Air Force Research Laboratory, USA. His research interests include radar signal processing and statistical communication theory. He has co-authored more than 180 refereed journal and conference papers. Additionally, he is a contributor to eight books and is a co-inventor on three US patents. He has received numerous IEEE, Air Force, and NATO awards.

• Part I: FundamentalsChapter 1: Beyond cognitive radarChapter 2: Adversarial radar inference: inverse tracking, identifying cognition, and designing smart interferenceChapter 3: Information integration from human and sensing data for cognitive radarChapter 4: Channel estimation for cognitive fully adaptive radarChapter 5: Convex optimization for cognitive radar Part II: Design methodologiesChapter 6: Cognition-enabled waveform design for ambiguity function shapingChapter 7: Training-based adaptive transmit-receive beamforming for MIMO radarsChapter 8: Random projections and sparse techniques in radarChapter 9: Fully adaptive radar resource allocation for tracking and classificationChapter 10: Stochastic control for cognitive radarChapter 11: Applications of game theory in cognitive radarChapter 12: The role of neural networks in cognitive radar Part III: Beyond cognitive radar - from theory to practiceChapter 13: One-bit cognitive radarChapter 14: Cognitive radar and spectrum sharingChapter 15: Cognition in automotive radarsChapter 16: A canonical cognitive radar architectureChapter 17: Advances in cognitive radar experimentsChapter 18: Quantum radar and cognition: looking for a potential cross fertilizationChapter 19: Metacognitive radar