Estimation of the covariance matrix for adaptive CFAR detection in compound-Gaussian clutter

被引：2
|
作者：
Conte, E [1 ]
De Maio, A [1 ]
Ricci, G [1 ]
机构：
[1] Univ Naples Federico II, I-80125 Naples, Italy
来源：
2000 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/ISIT.2000.866374
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We deal with the estimation of the structure of the covariance matrix of the noise and its application to adaptive radar detection of coherent pulse trains in compound-Gaussian clutter. Resorting to secondary data, free of signal components, we propose an estimator which, plugged into the NMF in place of the actual covariance matrix, leads to an adaptive detector CFAR with respect to the statistics of the noise.
引用
收藏
页码：84 / 84
页数：1
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