Radar Waveform Design Based on Optimization Theory (Hardcover)

Radar Waveform Design Based on Optimization Theory By Guolong Cui (Editor), Antonio de Maio (Editor), Alfonso Farina (Editor) Cover Image

Radar Waveform Design Based on Optimization Theory (Hardcover)

By Guolong Cui (Editor), Antonio de Maio (Editor), Alfonso Farina (Editor)

$155.00


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This book provides an overview of radar waveform synthesis obtained as the result of computational optimization processes and covers the most challenging application fields. The book balances a practical point of view with a rigorous mathematical approach corroborated with a wealth of numerical study cases and some real experiments. Additionally, the book has a cross-disciplinary approach because it exploits cross-fertilization with the recent research and discoveries in optimization theory. The material of the book is organized into ten chapters, each one completed with a comprehensive list of references.

The following topics are covered: recent advances of binary sequence designs and their applications; quadratic optimization for unimodular sequence synthesis and applications; a computational design of phase-only (possibly binary) sequences for radar systems; constrained radar code design for spectrally congested environments via quadratic optimization; robust transmit code and receive filter design for extended targets detection in clutter; optimizing radar transceiver for Doppler processing via non-convex programming; radar waveform design via the majorization-minimization framework; Lagrange programming neural network for radar waveform design; cognitive local ambiguity function shaping with spectral coexistence and experiments; and relative entropy based waveform design for MIMO radar.

Targeted at an audience of radar engineers and researchers, this book provides thorough and up-to-date coverage of optimisation theory for radar waveform design.

Product Details ISBN: 9781785619434
ISBN-10: 1785619438
Publisher: SciTech Publishing
Publication Date: November 4th, 2020
Pages: 352
Language: English
Series: Radar