This book brings together contributions from leading researchers who are engaged in the research and development of next generation cognitive abilities in radar engineering. It features recent advances in the theory and applications of advanced Cognitive Radar (CR) tools as well as examines emerging challenges. The chapters include mathematical and computational methods to combat important CR challenges as well as the applications of recent theories and algorithms to various applied CR aspects.
The book is intended to be used as a supplementary text for first-level graduate courses on radar theory and systems, radar signal processing, detection and estimation theory, and array signal processing. The book can also be used as a main textbook for upper-level graduate courses such as advanced topics in electromagnetics, advanced topics in radar, rf and communications, and contemporary topics in signal processing and optimization.
This book brings together contributions from leading researchers who are engaged in the research and development of next generation cognitive abilities in radar engineering. It features recent advances in the theory and applications of advanced Cognitive radar (CR) tools as well as examining emerging challenges.
- Part I: Fundamentals
- Chapter 1: Beyond cognitive radar
- Chapter 2: Adversarial radar inference: inverse tracking, identifying cognition, and designing smart interference
- Chapter 3: Information integration from human and sensing data for cognitive radar
- Chapter 4: Channel estimation for cognitive fully adaptive radar
- Chapter 5: Convex optimization for cognitive radar
- Part II: Design methodologies
- Chapter 6: Cognition-enabled waveform design for ambiguity function shaping
- Chapter 7: Training-based adaptive transmit-receive beamforming for MIMO radars
- Chapter 8: Random projections and sparse techniques in radar
- Chapter 9: Fully adaptive radar resource allocation for tracking and classification
- Chapter 10: Stochastic control for cognitive radar
- Chapter 11: Applications of game theory in cognitive radar
- Chapter 12: The role of neural networks in cognitive radar
- Part III: Beyond cognitive radar - from theory to practice
- Chapter 13: One-bit cognitive radar
- Chapter 14: Cognitive radar and spectrum sharing
- Chapter 15: Cognition in automotive radars
- Chapter 16: A canonical cognitive radar architecture
- Chapter 17: Advances in cognitive radar experiments
- Chapter 18: Quantum radar and cognition: looking for a potential cross fertilization
- Chapter 19: Metacognitive radar
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.
