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
Researchers and graduate students in signal processing, radar and communications engineering
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
List of Abbreviations
- No. of pages:
- © Academic Press 2020
- 1st September 2019
- Academic Press
- Paperback ISBN:
Ngoc Hung Nguyen received a B.E. (Hons.) degree in electrical and electronic engineering from the University of Adelaide, Australia, in 2012 and a Ph.D. degree in telecommunications from University of South Australia, Australia, in 2016. Since February 2016, he has been with the Institute for Telecommunications Research, University of South Australia, where he is currently a research fellow. His research interests span statistical and adaptive signal processing.
Research Fellow, Institute for Telecommunications Research, University of South Australia, Adelaide, Australia
Kutluyıl Doğançay received the BS degree with honors in electrical and electronic engineering from Boğaziçi University, Istanbul, Turkey, in 1989, the MSc degree in communications and signal processing from Imperial College, The University of London, UK, in 1992, and the PhD degree in telecommunications engineering from The Australian National University, Canberra, ACT, Australia, in 1996. Since November 1999, he has been with the School of Engineering, University of South Australia, where he is a professor and discipline leader of electrical and mechatronic engineering. His research interests span statistical and adaptive signal processing with applications in defence and communication systems. Dr Doğançay received the Best Researcher Award of School of Engineering, University of South Australia, in 2015, and Tall Poppy Science Award of the Australian Institute of Political Science in 2005. He was the Tutorials Chair of the IEEE Statistical Signal Processing Workshop (SSP 2014), and the Signal Processing and Communications Program Chair of the 2007 Information, Decision and Control Conference. He serves on the Editorial Board of Signal Processing and the EURASIP Journal on Advances in Signal Processing. From 2009-2015 he was an elected member of the Signal Processing Theory and Methods (SPTM) Technical Committee of the IEEE Signal Processing Society. He is currently an associate member of the Sensor Array and Multichannel (SAM) Technical Committee and a member of the IEEE ComSoc Signal Processing for Communications and Electronics Technical Committee. Dr Doğançay is the EURASIP liaison for Australia.
Professor, School of Engineering, University of South Australia, Adelaide, Australia