Reiterative robust adaptive thresholding for nonhomogeneity detection in non-Gaussian noise

被引：2
|
作者：
Younsi, A. [1 ]
Zoubir, A. M. [2 ]
Ouldali, A. [1 ]
机构：
[1] Ecole Mil Polytech, Department Elctron, Algiers 16112, Algeria
[2] Tech Univ Darmstadt, Signal Proc Grp, D-64283 Darmstadt, Germany
来源：
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2008年 / 2008卷 / 1期
关键词：
D O I：
10.1155/2008/786136
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A robust and data-dependent adaptive thresholding algorithm for nonhomogeneity detection in non-Gaussian interference is addressed. The algorithm is to be used as a preprocessing technique to select a set of homogeneous data from a bulk of nonhomogeneous compound-Gaussian secondary data employed for adaptive radar. An iterative version of the algorithm is also suggested in situations of multiple outliers in the secondary data. Performance analysis is conducted with simulated data as well as with real sea clutter data. Copyright (C) 2008.
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页数：11
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