最小选择恒虚警检测器的统一模型——TMSO

A Unified Model of Smallest of Selection CFAR Detector——TMSO

本文基于剔除平均（ＴＭ）提出了一种新的恒虚警检测器ＴＭＳＯ，它的前、后沿滑窗均采用剔除平均进行局部估计，再选择两者之中的最小值作为检测器对杂波功率水平的估计，去设置自适应检测门限，并应用了文献［３］提出的自动筛选技术。这样一来，ＳＯ、ＧＯＳＳＯ或ＯＳＳＯ可看作是它的特例。

A new CFAR detector(TMSO) based on trimmed mean(TM) is proposed in this paper.It takes the smallest local estimation of either leading or lagging window which applies trimmed mean method as a noise power estimation to set an adaptive threshold,and it also uses the automatic censoring technique proposed by.Thus,SO,GOSSO or OSSO is the special case of TMSO.Its shown that the performance of TMSO in homogeneous background and in multiple targets situation is improved over that of GOSSO or OSSO.