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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Bibliographic Details
Other Authors De Maio, Antonio (College teacher) (Editor), Greco, Maria (Editor)
Format Electronic eBook
LanguageEnglish
Published Edison, NJ : Scitech Publishing, an imprint of the IET, [2016]
Subjects
Online AccessFull text
ISBN9781523101757
152310175X
9781613532003
1613532008
9781613531990
1613531990
Physical Description1 online resource (382 pages)

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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.