Radar array design focuses on shaping desired transmit and receive beampatterns by optimizing array geometry, transmit waveforms, and weight vectors. This area has gained significant attention in both scientific and industrial circles, thanks to advances in digital arrays with multiple transmit and receive channels, flexible waveform generators, and solid-state transmitters. The beampattern is a key performance metric, and numerous design techniques now leverage optimization theory.
This book offers a comprehensive overview of radar beampattern synthesis through optimized array design. It addresses challenging applications such as phased array beampatterns and MIMO beampatterns in environments with clutter, jamming, and congestion. The text introduces advanced optimization tools—including the alternating direction method of multipliers (ADMM), coordinate descent, semidefinite relaxation, rank-one matrix decomposition, Lagrange duality, fractional programming, convex approximation, Pareto optimization, and machine learning—within the context of radar array design.
With a rigorous mathematical approach and numerous numerical case studies, the chapters highlight both theoretical insights and practical applications, showcasing the advantages of modern optimization theory in radar array design. The book includes a unified list of symbols and extensive cross-referencing for easy navigation, and explores how recent advances in optimization theory can benefit radar technology.
Radar Array Design using Optimization Theory is aimed at systems engineers and managers in aerospace and defense, technical staff in procurement and advisory roles, as well as academic researchers and students at the MSc and PhD levels in signal processing, electrical engineering, and optimization theory.
