DocumentCode
3414944
Title
Subspace projection for adaptive generalized likelihood ratio detection in Compound-Gaussian clutter
Author
Zhang, Tianxian ; Kong, Lingjiang ; Yang, Xiaobo ; Shuai, Xiaofei
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
1725
Lastpage
1728
Abstract
Poorly parameter estimates seriously depress the performance of adaptive GLRT detector. In this paper, orthogonal subspace projection algorithm is adopted to suppress clutter energy and mitigate performance degradation due to parameters estimation error. Simulations illustrate the effectiveness of this method.
Keywords
Gaussian noise; parameter estimation; radar clutter; radar signal processing; adaptive GLRT detector; adaptive generalized likelihood ratio detection; clutter energy suppression; compound-Gaussian clutter; orthogonal subspace projection algorithm; parameters estimation error; performance degradation; Clutter; Covariance matrix; Detectors; Eigenvalues and eigenfunctions; Object detection; Parameter estimation; Vectors; Detection; Generalized likelihood ratio test (GLRT); orthogonal subspace projection;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159902
Filename
6159902
Link To Document