Overview

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 case studies and some real experiments.

Full Product Details

Author:   Guolong Cui (Professor, University of Electronic Science and Technology of China, Chengdu, China) ,  Antonio De Maio (Professor, University of Naples Federico II, Italy) ,  Alfonso Farina (Private Consultant) ,  Jian Li (Professor, University of Florida, Department of Electrical and Computer Engineering, Gainesville, USA)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.703kg
ISBN:  

9781785619434

ISBN 10:   1785619438
Pages:   352
Publication Date:   04 November 2020
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: On recent advances of binary sequence designs and their applications Chapter 2: Quadratic optimization for unimodular sequence synthesis and applications Chapter 3: A computational design of phase-only (possibly binary) sequences for radar systems Chapter 4: Constrained radar code design for spectrally congested environments via quadratic optimization Chapter 5: Robust transmit code and receive filter design for extended targets detection in clutter Chapter 6: Optimizing radar transceiver for Doppler processing via non-convex programming Chapter 7: Radar waveform design via the majorization-minimization framework Chapter 8: Lagrange programming neural network for radar waveform design Chapter 9: Cognitive local ambiguity function shaping with spectral coexistence and experiments Chapter 10: Relative entropy-based waveform design for MIMO radar

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Author Information

Guolong Cui is a professor with the University of Electronic Science and Technology of China, Chengdu. His current research interests include waveform optimization theory and algorithms, adaptive signal processing, and statistical signal processing with emphasis on radars. Antonio De Maio is a professor with the University of Naples Federico II. His research interest is in the field of statistical signal processing, with emphasis on radar detection and optimization theory applied to radar signal processing. Dr. De Maio is a fellow member of IEEE and the recipient of the 2010 IEEE Fred Nathanson Memorial Award as the young (less than 40 years of age) AESS Radar Engineer 2010. Alfonso Farina (fellow of IEEE, FREng, FIET, fellow of EURASIP), Selex ES (retired) is a consultant in Roma, Italy. Dr. Farina is the author of more than 800 peer-reviewed technical publications and of books and monographs (published worldwide). Awards he has received recently include the IET Achievement Medal for outstanding contributions to radar system design, signal, data and image processing, and data fusion (2014) and Christian Hülsmeyer Award from the German Institute of Navigation (DGON) (2019). Jian Li is a professor with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, USA. In fall 2007, she was on sabbatical leave at MIT, Cambridge, Massachusetts. Her current research interests include spectral estimation, statistical and array signal processing, and their applications. Dr. Li is a fellow of IEEE and a fellow of IET.

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