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https://www.riss.kr/link?id=M14114160
Edison, NJ : Scitech Publishing, an imprint of the IET, [2016] 짤2016
2016
영어
621.3848
9781523101757
152310175X
일반단행본
New Jersey
Modern radar detection theory / edited by Antonio De Maio, Maria Sabrina Greco
1 online resource (382 pages)
Includes bibliographical references and index.
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, Fre?de?ric 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.
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