三种两样本非参量CFAR检测算法分析

Performance Analysis of Three Kinds of Two-Sample Nonparametric CFAR Detectors

摘要:

介绍了3种两样本非参量CFAR检测算法的基本工作原理,利用实测未知统计概率分布海杂波数据对它们的检测性能进行了研究,并与参量CA-CFAR检测器进行了对比。研究表明:在强海杂波条件下,GS-CFAR检测器的检测性能最优；在弱海杂波条件下,Savage-CFAR检测器的检测性能最优；相比于CA-CFAR检测器,3种两样本非参量检测器均有更好的检测性能和杂波抑制能力。

Abstract:

In this paper, the basic principle of three kinds of two-sample nonparametric CFAR detectors was introduced and their detection performance was study under real sea clutter by comparing with CA-CFAR detector, where the statistical property of this real data was unknown. The analysis results showed that, under the strong sea clutter the GS-CFAR detector had the best performance and under the weak sea clutter the Savage-CFAR detector has the best performance. The three kinds of two-sample nonparametric CFAR detectors had distinct advantage in detecting and suppressing sea clutter over the CA-CFAR detector.