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一种新的基于模糊逻辑的CFAR检测器
引用本文:李乐强,曲大伟.一种新的基于模糊逻辑的CFAR检测器[J].微计算机应用,2008,29(12).
作者姓名:李乐强  曲大伟
作者单位:1. 海军驻西安地区某代表室,西安,710065
2. 海装西安局,西安,710054
摘    要:基于模糊逻辑,无偏最小方差估计(UMVE)和单元平均(CA)提出一种新的恒虚警检测器(FUCAP)。它的前、后沿滑窗分别采用模糊UMVE方法和模糊CA方法得到映射到虚警空间的两个隶属函数值,再将这两个值相乘作为检测统计量。分析结果表明,FUCAP在均匀背景和多目标环境下均具有不错的检测性能。

关 键 词:检测性能  恒虚警率  无偏最小方差估计  单元平均  模糊逻辑

A New CFAR Detector Based on Fuzzy Logic
LI Leqiang,QU Dawei.A New CFAR Detector Based on Fuzzy Logic[J].Microcomputer Applications,2008,29(12).
Authors:LI Leqiang  QU Dawei
Abstract:A new Const.False Alarm Rate(CFAR) detector(FUCAP) based on Fuzzy logic,Unbiased Minimum-Variance Estimation(UMVE) and Cell Averaging(CA) is presented in this paper.It obtains two membership function values mapping to the false alarm space from leading and lagging reference cells with fuzzy UMVE method and fuzzy CA method,and takes the product of them as detection statistic.By comparison with other scheme,the results show that the FUCAP-CFAR detector has good detection performance both in homogenous environments and in multiple target situations.
Keywords:detection performance  CFAR  UMVE  CA  fuzzy logic
本文献已被 CNKI 万方数据 等数据库收录!
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