摘要
基于删除平均(CM)和单元平均(CA)提出了一种新型的恒虚警率检测器(CMCAM-CFAR),它采用CM和CA产生局部估计,再对二者平均实现对杂波功率估计。在SwerlingⅡ型目标假设和均匀背景下,推导出了它的检测概率(Pd)、虚警概率(Pfa)和平均判决阈值(ADT)的解析表达式,并与有序统计(OS)恒虚警率(CFAR)检测器进行了比较。分析结果表明在均匀背景和多目标环境下CMCAM-CFAR检测器的性能均优于OS-CFAR检测器的性能。
A new CFAR detector(CMCAM) based on censored mean(CM) and cell average(CA) is proposed in this paper. Ln this detector the mean value of the local estimations of CM and CA is taken as the noise power estimationUnder Swerling Ⅱand homogeneous background assumption,the analytic expressions of Pd,Pfa and ADT are derived for the detectorThe results show that the performance of CMCAM-CFAR detector is better than that of OS-CFAR detector in homogeneous background and multi-target situation
出处
《空军工程大学学报(自然科学版)》
CSCD
2003年第1期26-29,共4页
Journal of Air Force Engineering University(Natural Science Edition)