| 一种新的最小选择恒虚警检测器 |
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| 引用本文： | 孟祥伟,何友. 一种新的最小选择恒虚警检测器[J]. 系统工程与电子技术, 1997, 0(1) |
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| 作者姓名： | 孟祥伟 何友 |
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| 作者单位： | 海军航空工程学院电子工程系 烟台264001 |
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| 摘 要： | 本文基于有序统计(OS)和剔除平均(TM)提出了一种新的恒虚警检测器(OSTMSO),它采用OS和TM来生产局部估计,再采用最小选择逻辑来实现对杂波功率水平的估计,并应用了文献[4]提出的自动筛选技术.在SwerlingⅡ型目标假设下,推导出了它的P_(?)P_d和度量ADT的解析表达式,并与其它方案进行了比较.分析结果表明,OSTMSO在均匀背景及多目标环境中的性能都比GOSSO获得了改善,同时,它的样本排序时间还不到OS的一半.
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| 关 键 词： | 恒虚警检测器 杂乱回波 目标识别 |
A New Smallest of Selection CFAR Detector |
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| Meng Xiangwei and He You Technical University of Yamai. A New Smallest of Selection CFAR Detector[J]. System Engineering and Electronics, 1997, 0(1) |
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| Authors: | Meng Xiangwei and He You Technical University of Yamai |
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| Affiliation: | Meng Xiangwei and He You Technical University of Yamai,264001 |
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| Abstract: | A new CFAR delector (OSTMSO) based on order statistics (OS) and trimmed mean (TM) is proposed in this paper, It takes the smaltest value of OS and TM local estimations as a noise power estimation, and also uses the automatic censoring technique proposed by reference [4]. Under Swerling 11 assumption, the analytic expressions of P(? P(?) and ADT of OSTMSO are derived. By comparison with oilier schemes, the results show that the detection performance of OSTMSO in homogeneous background and in strong interfering targets cnvironment is superior to that of GOSSO. while the sample sorting time of OSTMSO is less than half of that of OS. |
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| Keywords: | Order stutistics. Trimmed mean CFAR Detection performance. |
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