基于检测统计量的修正转换恒虚警检测算法  

Constant False Alarm Rate Detection Algorithm of Modification Switching based on Test Cell Statistics

作　　者：曲付勇[1] 孟祥伟[1] 宋玉珍[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《火力与指挥控制》2009年第10期149-152,共4页Fire Control & Command Control

基　　金："十一五"国防预研基金资助项目(51307060504)

摘　　要：提出了一种新的恒虚警检测算法——修正的转换恒虚警检测算法(MS-CFAR)。该算法考虑检测单元采样作为参考单元的选择依据,其使用了基于转换恒虚警(S-CFAR)和最大选择恒虚警(GO-CFAR)的复合算法。给出了该算法在均匀背景中的数学分析。结果表明,该检测器既具有均匀背景下和CA-CFAR相近的良好性能,在多目标环境中亦克服了GO-CFAR不能分辨主目标的弊端,具有较强的适应性。尤其在杂波边缘环境中,MS-CFAR表现出了远好于S-CFAR的控制虚警的能力。In this paper, a new Constant False Alarm Rate （CFAR） algorithm which is a Modification of the Switching CFAR（S-CFAR） that takes into account the statistics of the sample in the test cell for reference sample selection is proposed. It employs a composite approach based on the Switching CFAR（S- CFAR） and Greatest of Selection （GO-CFAR）. Mathematical analysis in a homogeneous environment is presented. The simulation results show that the detection performance of MS-CFAR is similar to that of CA-CFAR in homogeneous background and it resolves multiple targets that the GO-CFAR can＇t resolves, and it shows good robustness. Especially in clutter edge, the detection performance of the Modified S- CFAR is far better than that of S-CFAR.

关 键 词：检测统计量 修正转换CFAR 多目标 杂波边缘 

分 类 号：TN957[电子电信—信号与信息处理] TN911.7[电子电信—信息与通信工程]