Cognitive radar is changing what radar systems can do-from simply detecting targets to sensing, learning, reasoning, and adapting in real time.Cognitive Radar Systems Handbook gives you a structured, engineering-focused introduction to the technologies behind intelligent and adaptive sensing. Instead of treating radar signal processing, machine learning, waveform design, and system architecture as separate subjects, this handbook shows how they work together inside a modern closed-loop cognitive radar system.Inside, you'll learn how to:Build a strong foundation in radar physics, range equations, antennas, phased arrays, propagation, and radar cross sectionUnderstand pulse compression, Doppler processing, CFAR, STAP, interference mitigation, and adaptive waveform designApply machine learning, deep learning, reinforcement learning, and Bayesian reasoning to radar problemsExplore cognitive waveform selection, environmental awareness, online learning, and dynamic resource managementUnderstand target detection, multi-target tracking, automatic target recognition, and uncertainty managementExamine airborne, space-based, automotive, weather, electronic warfare, and spectrum-sharing applicationsConnect algorithms to practical hardware using software-defined radar, FPGAs, GPUs, simulation, and performance validationDesigned for engineering students, radar practitioners, researchers, signal-processing professionals, and technically motivated readers, the book combines classical radar engineering with the machine intelligence techniques shaping the next generation of adaptive sensing.With 16 structured chapters, chapter summaries, diagrams, key equations, a glossary, and references, it works both as a progressive learning resource and as a technical reference you can return to when tackling specific radar problems.Build the foundation you need to understand where radar is heading-get your copy of Cognitive Radar Systems Handbook today.
