Название: Radar Array Design using Optimization Theory
Автор: Guolong Cui, Junli Liang, Bin Liao, Xiangrong Wang, Lingjiang Kong
Издательство: The Institution of Engineering and Technology
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 22.2 MB
Radar array design aims at shaping a specific transmit/receive beampattern through optimizing array geometry, transmit waveform, and transmit/receive weight vectors. It is a hot topic among the scientific and industrial communities due to the advent of modern digital arrays with multiple digital transmit and receive channels, arbitrary digital waveform generators, and solid-state transmitters. The radar array beampattern is a critical performance metric, and there has been a proliferation of techniques for radar array design exploiting the mathematical results drawn from optimisation theory. This book provides an overview of radar beampattern synthesis based on optimised array design. Innovative and sophisticated instruments from optimization theory, such as alternating direction method of multipliers (ADMM), coordinate descent technique, semidefinite relaxation, rank-one matrix decomposition, Lagrange duality theory, fractional programming, convex approximation, Pareto optimization, and Machine Learning (ML) are framed in the context of radar array design.
Автор: Guolong Cui, Junli Liang, Bin Liao, Xiangrong Wang, Lingjiang Kong
Издательство: The Institution of Engineering and Technology
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 22.2 MB
Radar array design aims at shaping a specific transmit/receive beampattern through optimizing array geometry, transmit waveform, and transmit/receive weight vectors. It is a hot topic among the scientific and industrial communities due to the advent of modern digital arrays with multiple digital transmit and receive channels, arbitrary digital waveform generators, and solid-state transmitters. The radar array beampattern is a critical performance metric, and there has been a proliferation of techniques for radar array design exploiting the mathematical results drawn from optimisation theory. This book provides an overview of radar beampattern synthesis based on optimised array design. Innovative and sophisticated instruments from optimization theory, such as alternating direction method of multipliers (ADMM), coordinate descent technique, semidefinite relaxation, rank-one matrix decomposition, Lagrange duality theory, fractional programming, convex approximation, Pareto optimization, and Machine Learning (ML) are framed in the context of radar array design.