MOVING ORDERED STATISTICS CFAR DETECTION FOR NONHOMOGENEOUS BACKGROUNDS

被引:7
|
作者
CHO, CM
BARKAT, M
机构
[1] State Univ of New York, Stony Brook, NY
关键词
MOVING ORDERED STATISTICS; NONHOMOGENEOUS BACKGROUNDS; CFAR DETECTION; RADAR;
D O I
10.1049/ip-f-2.1993.0039
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A new robust order statistic-based CFAR scheme, the moving ordered statistics (MOS) CFAR detector, is proposed. The MOS-CFAR detector effectively estimates the noise level in nonhomogeneous backgrounds by using the spatial subspace concept and the order statistics estimation method. Like the OS-CFAR detector, the MOS-CFAR processor selects one of the reference cells as the estimate of the background noise power. However, the rank of the selected sample is a variable and varies depending on the different background noise distributions in the reference cells. The detection performances of the MOS-CFAR processor is investigated and compared with other well known CFAR detectors by means of simulations. The results show that the proposed MOS-CFAR detector is superior to the other schemes in regulating the false alarm rate in nonhomogeneous backgrounds.
引用
收藏
页码:284 / 290
页数:7
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