Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms
Nguyen, Ngoc Hung, Dogancay, Kutluyil
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 in the book is performance optimization for multistatic target tracking and localization via waveform adaptation, geometry optimization and tracking algorithm design. Chapters contains detailed analyses of mathematical derivations and algorithmic development that is accompanied by simulation examples and associated MATLAB codes. This book will be ideal 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 MATLAB code for the examples in the book