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

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 performanceAssesses optimality of a given target-sensor geometry, and designs optimal geometries for target localization using mobile sensorsGives an understanding of low-complexity and high-performance pseudolinear estimation algorithms for target localization and tracking in multistatic radar systemsContains MATLAB code for the examples in the book INDICE: 1. Introduction Part I Adaptive Waveform Selection 2. Waveform Selection for Multistatic Tracking of Maneuvering Target 3. Waveform Selection for Multistatic Target Tracking in Clutter 4. Waveform Selection for Multistatic Target Tracking with Cartesian Estimates 5. Distributed Waveform Selection Part II Optimal Geometry Analysis 6. Optimal Geometries for Multistatic TOA Localization by a Single-Transmitter/Multiple-Receiver System 7. Optimal Geometries for Multistatic TOA Localization by Independent Bistatic Channels Part III Pseudolinear Estimation 8. Multistatic Pseudolinear Target Motion Analysis 9. Multistatic Pseudolinear Target Tracking Part IV Appendixes and Bibliography MATLAB codes Bibliography List of Abbreviations

• ISBN: 978-0-12-815314-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 275
• Fecha Publicación: 01/09/2019
• Nº Volúmenes: 1
• Idioma: Inglés