分布式自适应CMLWCA CFAR检测方法  

Distributed Adaptive CMLWCA CFAR Detection Method

作　　者：江晶[1] 杨军[2] 马晓岩[2] 孙洪[1] 

机构地区：[1]武汉大学电子信息学院,武汉430079 [2]空军雷达学院信息与指挥自动化系,武汉430019

出　　处：《控制与决策》2006年第4期421-424,429,共5页Control and Decision

基　　金：国家863高新技术计划基金项目(2002AA135320)

摘　　要：针对分布式多传感器系统中不同传感器的信噪比会影响检测决策,提出一种利用各传感器信噪比决定其权值的自适应删除均值加权单元平均(CM LW CA)恒虚警率(CFAR)检测的新方法.在假定目标服从Sw erling II起伏的情况下,导出了相应的检测概率与虚警概率闭式解.多种检测器数值分析的比较结果表明了该方法的有效性和优越性.To find a solution to decision of detection in distributed multi-sensor systems that every sensor has its own SNR （signal-noise-ratio）, a novel distributed CFAR detector, named CMLWCA （censored mean level weighted cell-averaging）, is proposed based on LRT （likelihood ratio test） . In the scheme, the weights are decided by the SNR of each sensor, therefore the detector can hold CFAR properties in spite of different SNR that sensors may have . In the case that target fluctuating is Swerling II, closed-forms of probability of detection and probability of false alarm are derived. The numerical analysis results of the CMLWCA detector show its good detection performance.

关 键 词：分布式检测 恒虚警率 检测概率 虚警概率 

分 类 号：O211[理学—概率论与数理统计]