Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms

By Ngoc Hung Nguyen and Kutluyil Doğançay

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms addresses three important aspects of signal processing for multistatic radar systems, including adaptive waveform selection, optimal geometries and pseudolinear tracking algorithms. A key theme of the book is performance optimization for multistatic target tracking and localization via waveform adaptation, geometry optimization and tracking algorithm design. Chapters contain detailed mathematical derivations and algorithmic development that are accompanied by simulation examples and associated MATLAB codes. This book is an ideal resource for university researchers and industry engineers in radar, radar signal processing and communications engineering.

• Develops waveform selection algorithms in a multistatic radar setting to optimize target tracking performance
• Assesses the optimality of a given target-sensor geometry and designs optimal geometries for target localization using mobile sensors
• Gives an understanding of low-complexity and high-performance pseudolinear estimation algorithms for target localization and tracking in multistatic radar systems
• Contains the MATLAB codes for the examples used in the book

• Language: English
• Publisher: Academic Press
• Release date: Oct 25, 2019
• ISBN: 9780081026472

Ngoc Hung Nguyen

Ngoc Hung Nguyen received the B.E. degree (Hons.) in electrical and electronic engineering from the University of Adelaide, Australia, in 2012, and the Ph.D. degree in telecommunications from the University of South Australia, Australia, in 2016. He is currently a Researcher with the Defence Science and Technology Group, Australia, and an Adjunct Research Fellow with the University of South Australia. Prior to this, between February 2016 and February 2019 he was a Research Fellow and Lecturer with the University of South Australia. His research interests include statistical and adaptive signal processing, compressive sensing, and estimation theory with emphasis on target localization and tracking, sensor management, and radar imaging. Dr. Nguyen currently serves on the Editorial Board of Digital Signal Processing.

Book preview

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Chapter 1

Introduction

Abstract

Over its history of more than a century, radar has played a fundamental and prominent role in a wide range of civilian and military applications. Multistatic radar is a particular type of radar that incorporates multiple spatially distributed transmitters and receivers. The spatial diversity provided by the separation of transmitters and receivers not only offers several advantages over conventional monostatic radar, but also gives system designers extra degrees of freedom to optimize the radar system design for specific applications. Inspired by the unique peculiarities of multistatic radar in relation to nonlinear signal processing, waveform and geometry, this book presents modern signal processing techniques for multistatic tracking radar systems with the pivotal theme of performance optimization via waveform adaptation, geometry optimization and pseudolinear tracking algorithms. The core of the book is structured into three parts: Part 1 – Adaptive waveform selection, Part 2 – Optimal geometry analysis, and Part 3 – Pseudolinear tracking algorithms. This chapter provides background information and a brief review of radar history, explains the purpose and scope of the book, and outlines the organization of the