Pearson分布杂波背景下均值类恒虚警检测器的性能分析  

Performance Analysis of Mean Level CFAR Detector in Pearson Distribution Clutter

作　　者：郝程鹏[1] 蔡龙[1] 

机构地区：[1]中国科学院声学研究所,北京100080

出　　处：《弹箭与制导学报》2009年第2期227-230,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：国防"十一五"预研基金;国家自然科学基金(60802072)资助

摘　　要：文中研究Pearson杂波背景下的CFAR检测问题,推导出CA、GO和SO三种CFAR检测器在Pear-son分布杂波背景下虚警概率的初等函数表达式,证明了它们在Pearson分布杂波背景下仍具有恒虚警性能。全面分析了这三种均值类检测器在均匀背景和非均匀背景下的性能,结果表明SO-CFAR在均匀背景和多目标干扰情况下均具有最好的检测性能,而GO-CFAR则在杂波边缘情况具有更好的虚警控制能力。The problem of constant false alarm rate （CFAR） detection under Pearson distribution clutter is studied in this paper. We derive the exact elementary expressions of probability of false alarm for cell averaging（CA）-CFAR, greatest of（GO）-CFAR and smallest of （SO）-CFAR in homogenous background, and prove that these detectors are also of CFAR. The performance of these detectors are evaluated both in homogeneous and non-homogeneous clutter. The results show that the SO-CFAR has the best detection performance against uniform clutter background and multiple target environments, while the GO-CFAR has the best control ability of false alarm against clutter edges.

关 键 词：检测 恒虚警 杂波 Pearson分布 

分 类 号：TN951[电子电信—信号与信息处理]