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本文基于剔除平均(TM)提出了一种新的最大选择(GO)恒虚警检测器,它的前、后沿滑窗均采用TM来产生局部估计,再选择两者之中的最大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,并应用了何友(1994)提出的自动筛选技术。分析结果表明,它在均匀背景及多目标和杂波边缘引起的非均匀背景中的性能,均比GOSGO或OSGO获得了改善,并且它的样本排序时间还不到OS的一半。一些流行的恒虚警方法如GO、GOSGO或OSGO、CMGO可看作是TMGO的特例。
In this paper, we propose a new maximum-choice (GO) CFAR detector based on the reject average (TM). The front and back sliding windows all use TM to generate the local estimator, and then choose the maximum of them as The detector estimates the clutter power level to set the adaptive detection threshold and applies the automatic filtering technique proposed by He You (1994). The analysis results show that the performance of the proposed method is better than that of GOSGO or OSGO in uniform background and non-uniform background caused by multi-target and clutter edges, and its sample ordering time is less than half of OS. Some popular CFAR methods such as GO, GOSGO or OSGO, CMGO can be seen as a special case of TMGO.