<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li</title><link>https://shop.theiet.org:443/editors/guolong-cui-antonio-de-maio-alfonso-farina-jian-li</link><description>Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li</description><item><title>Radar Waveform Design based on Optimization Theory</title><link>https://shop.theiet.org:443/radar-waveform-design-based-on-optimization-theory</link><description>&lt;p xmlns="http://ns.editeur.org/onix/3.0/reference"&gt;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.&lt;/p&gt;
&lt;p xmlns="http://ns.editeur.org/onix/3.0/reference"&gt;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.&lt;/p&gt;
&lt;p xmlns="http://ns.editeur.org/onix/3.0/reference"&gt;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.&lt;/p&gt;</description><pubDate>Fri, 14 Feb 2020 16:04:07 GMT</pubDate><guid isPermaLink="true">https://shop.theiet.org:443/radar-waveform-design-based-on-optimization-theory</guid></item></channel></rss>