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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159902
