%0 Journal Article
%T A Noval CFAR Algorithm Based on Unbiased Minimum-Variance Estimation and Ordered Statistics Estimation<br>一种新的基于UMVE和OS的恒虚警检测算法
%A Hao Cheng-peng
%A Hou Chao-huan
%A <br>郝程鹏
%A 侯朝焕
%J 电子与信息学报
%D 2007
%I 
%X In order to make full use of the cell information and decrease CFAR loss, A new CFAR detector (MOSUM-CFAR) based on unbiased minimum-variance estimation and ordered statistics estimation is presented in this paper . It takes the sum of UMVE of leading window and OS estimation of lagging window as a global noise power estimation. Under swerling II assumption, the analytic expressions of Pf aand Pd in homogeneous background are derived, and the analytic expression of Pd in multiple target situations is also derived. In contrast to other detectors, the MOSUM-CFAR detector has fairly well detection performance in both homogeneous background and multiple target situations.
%K Detection
%K Constant False Alarm Rate(CFAR)
%K Unbiased Minimum-Variance Estimation(UMVE)
%K Ordered statistics<br>检测
%K 恒虚警
%K 无偏最小方差估计
%K 有序统计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1E3E1BB935BFA122&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=41685CA5511D97F7&eid=59754DBA76F6BBAA&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8