Signal Processing for Multistatic Radar Systems

Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracki

By: Dogancanay, Nguyen

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Paperback | 26 October 2019 | Edition Number 1

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188 Pages

Dimensions(cm)
22.86 x 15.24 x 1.02

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Multistatic radar has enjoyed a resurgence of interest due to its advantages over monostatic radar in challenging situations, such as tracking a stealthy target and geolocating noise-like interference, and high immunity to jamming. Signal Processing for Multistatic Radar Systems addresses three important aspects of signal processing for multistatic radar systems: adaptive waveform selection, optimal geometries, and pseudolinear tracking algorithms. A key theme is performance optimization for multistatic target tracking and localization via waveform adaptation, geometry optimization, and tracking algorithm design.

Each chapter contains a detailed analysis of mathematical derivations and algorithmic development, accompanied by several simulation examples and associated MATLAB codes to verify theoretical results.

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms is suitable for university researchers and industry engineers in radar, radar signal processing and communications engineering who want to understand and design multistatic radar systems.

Develops waveform selection algorithms in a multistatic radar setting to optimize target tracking performance
Assesses 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 MATLAB code for the examples in the book

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