Pearson分布杂波背景下分布式模糊CA-CFAR检测器的性能分析  

Performance Analysis of Distributed Fuzzy CA-CFAR detector in Pearson-Distribution Clutter

作　　者：蔡龙[1] 马晓川[1] 李宾[1] 施博[1] 

机构地区：[1]中国科学院声学研究所,北京100190

出　　处：《微计算机应用》2011年第6期46-52,共7页Microcomputer Applications

基　　金：国家自然科学基金资助项目(60802072)

摘　　要：为了改善雷达的检测性能,本文分析了Pearson分布杂波背景下,采用模糊逻辑方法设计CA-CFAR检测器的问题。提出了一种二元分布式模糊CA-CFAR检测器。两个检测器分别利用滑窗数据计算出映射到虚警空间的隶属函数值,通过融合中心的四种融合准则得到全局隶属函数值,实现背景杂波功率水平估计,从而进行目标判决。仿真结果表明,基于代数和融合准则的模糊CA-CFAR,在四种融合逻辑中检测性能是最稳健的,且相比传统的二进制"与"逻辑或者"或"逻辑CFAR检测器,能够提供更好的检测效果。In order to improve the radar＇s detection performance,the problem of designing CA-CFAR based on fuzzy logic is studied in this paper.A kind of distributed fuzzy CA-CFAR detection scheme including two elements is proposed here.Two detectors compute the values of the membership function to the false alarm space from the samples of the reference cells,two values are combined according to four kinds of fuzzy fusion rule to produce a global member-function to estimate the background clutter power,and then finish decision.The simulation results indicate that the fuzzy CA-CFAR based on the fuzzy algebraic sum integrator provides most robust detection performance in four different rules and is better detection performance compared to conventional binary ＂AND＂ or ＂OR＂ CFAR.

关 键 词：检测 杂波 Pearson分布 恒虚警模糊逻辑 

分 类 号：TN957.51[电子电信—信号与信息处理]