Modern radar detection theory /
"Recently, various algorithms for radar signal detection that rely heavily upon complicated processing and/or antenna architectures have been the subject of much interest. These techniques owe their genesis to several factors. One is revolutionary technological advances in high-speed signal pro...
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| Format: | eBook |
| Language: | English |
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Edison, NJ :
Scitech Publishing, an imprint of the IET,
[2016]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Introduction to Radar Detection / Antonio De Maio, Maria S. Greco, and Danilo Orlando
- 2. Radar Detection in White Gaussian Noise: A GLRT Framework / Ernesto Conte, Antonio De Maio, and Guolong Cui
- 3. Subspace Detection for Adaptive Radar: Detectors and Performance Analysis / Ram S. Raghavan, Shawn Kraut, and Christ D. Richmond
- 4. Two-Stage Detectors for Point-Like Targets in Gaussian Interference with Unknown Spectral Properties / Antonio De Maio, Chengpeng Hao, and Danilo Orlando
- 5. Bayesian Radar Detection in Interference / Pu Wang, Hongbin Li, and Braham Himed
- 6. Adaptive Radar Detection for Sample-Starved Gaussian Training Conditions / Yuri I. Abramovich and Ben A. Johnson
- 7. Compound-Gaussian Models and Target Detection: A Unified View / K. James Sangston, Maria S. Greco, and Fulvio Gini
- 8. Covariance Matrix Estimation in SIRV and Elliptical Processes and Their Applications in Radar Detection / Jean-Philippe Ovarlez, Frédéric Pascal, and Philippe Forster
- 9. Detection of Extended Target in Compound-Gaussian Clutter / Augusto Aubry, Javier Carretero-Moya, Antonio De Maio, Antonio Pauciullo, Javier Gismero-Menoyo, and Alberto Asensio-Lopez.