Radar Waveform Design Based on Optimization Theory

Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li

Informasi Dasar

42 kali
23.21.227
621.384 8
Buku - Elektronik (E-Book)
Tel-U Gedung Manterawu Lantai 5 : Rak 13a
Tel-U Purwokerto : Rak 6

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.

Subjek

RADAR
 

Katalog

Radar Waveform Design Based on Optimization Theory
9781785619441
348p.: pdf file.; 11 MB
English

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li
Perorangan
 
 

Penerbit

IET
New York
2020

Koleksi

Kompetensi

 

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