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一种基于ODV和CA的恒虚警检测器
引用本文:邵瑛,王小宁. 一种基于ODV和CA的恒虚警检测器[J]. 微计算机应用, 2010, 31(5)
作者姓名:邵瑛  王小宁
作者单位:1. 上海电子信息职业技术学院,上海,201411
2. 中国人民解放军91388部队,湛江,524022
摘    要:基于有序数据方差(ODV)方法和单元平均(CA)方法提出一种新的恒虚警检测器(MODVCA),它的前沿和后沿滑窗分别采用ODV和CA产生局部估计,再取二者的和作为背景功率水平估计.在Swerling Ⅱ型目标假没下,推导出MODVCA在均匀背景下虚警概率的解析表达式,并与其他CFAR方法进行了比较,结果表明在均匀背景及多于扰目标情况下,MODVCA的性能均比MOSCA获得了改善,同时该检测器的样本排序时间只有ODV的四分之一.

关 键 词:雷达  检测  恒虚警  有序数据方差  单元平均

A CFAR Detector Based onOrdered Data Variability And Cell Averaging
SHAO Ying,WANG Xiaoning. A CFAR Detector Based onOrdered Data Variability And Cell Averaging[J]. Microcomputer Applications, 2010, 31(5)
Authors:SHAO Ying  WANG Xiaoning
Affiliation:SHAO Ying1,WANG Xiaoning2(1 The Institute of Shanghai Electronic Information Technology,Shanghai,201411,China 2 The Chinese People's Liberation Army No.91388,Zhanjiang,524022,China)
Abstract:A new Const False Alarm Rate(CFAR) detector(MODVCA) based on Ordered data variability(ODV) Cell Averaging(CA) is proposed in this paper.It takes the sum of ODV and CA local estimations as a global noise power estimation.Under the Swerling II assumption,the analytic expression of in homogeneous background is derived.In contrast to other schemes,the results show that the detection performance of MODVCA is improved both in homogeneous environment and in multiple target situations,while the sample sorting time ...
Keywords:Radar  Detection  CFAR  Ordered data variability(ODV)  Cell Averaging(CA)  
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