Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithmsaddresses 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 performanceAssesses the 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 the MATLAB codes1. Introduction ; Part 1: Adaptive waveform selection -- 2. Waveform selection for multistatic tracking of a maneuvering target ; 3. Waveform selection for multistatic target tracking in cluster ; 4. Waveform selection for multistatic target tracking with Cartesian estimates ; 5. Waveform selection for distributed multistatic target tracking ; Part 2.: Optimal geometry analysis -- 6. Optimal geometries for multistatic target localization with one transmitter and multiple receivers ; 7. Optimal geometries for multistatic target localization by independent bistatic channels ; Part 3.:Pseudolineartracking algorithms -- 8. Bat