一种新的最大选择恒虚警检测器

本文提出一种基于有序统计(OS)和单元平均(CA)产生局部估计,并应用最大选择(GO)产生检测单元杂波功率水平估计Z的新的恒虚警检测器(OSCAGO)。我们推导出了该检测器在Swerling Ⅱ型目标假设下的虚警概率(P_(fa))、检测概率(Pd)和度量平均判决门限(ADT)解析表达式。分析了它在均匀背景和强干扰环境中的检测性能。并且把它与OS-,GOSGO-CFAR进行了比较。结果表明,OSCAGO在均匀杂波背景和多目标情况下的检测性能与OS和GOSGO相比,都有很明显的提高。在干扰目标数为某些值时,OSCAGO的CFAR损失比GOSGO小近3dB。

A NEW CFAR DETECTOR WITH GREATEST OPTION

This paper presents a new Constant-False-Alarm Ratio(CFAR) detector based on Ordered Statistics(OS) and Cell-Averaging(CA) forming local estimates, and using Greatest-Option (GO) to form interference power level estimate Z in test cell (OSCAGO). Under the Swerling II assumption, the analytic expressions of false-alarm probability (Pfa), detection probability (Pd) and Average Decision Threshold (ADT) of this detector are derived, its detection performances in homogeneous background and in strong interfering targets environment are analyzed, and compared with that of OS-, GOSGO-CFARs. Results show that the detection performances of OSCAGO in homogeneous background and in multiple-target situations are all obviously better than those of OS and GOSGO. When the number of interfering targets is equal to certain value, the CFAR loss of OSCAGO is about 3dB less than that of GOSGO.