一种基于检测统计量的SOSGO-CFAR检测算法  

A SOSGO-CFAR Method Based on Test Cell Statistics

作　　者：宋玉珍[1] 孟祥伟[1] 曲付勇[1] 

机构地区：[1]海军航空工程学院

出　　处：《中国电子科学研究院学报》2008年第3期280-284,共5页Journal of China Academy of Electronics and Information Technology

摘　　要：提出了一种新的恒虚警检测算法SOSGO-CFAR。该算法应用检测单元采样作为选择参考单元的依据,使用了基于转换恒虚警(S-CFAR)和排序选大恒虚警(OSGO-CFAR)的复合算法。文章给出了该算法在均匀背景中的数学分析。并在均匀背景、杂波边缘和多目标情况下,用Monte Carlo方法进行了仿真分析。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,在杂波边缘环境中,具有接近OSGO-CFAR的性能,且在多目标环境中,其性能明显好于S-CFAR。This paper proposes a new Constant False Alarm Rate （CFAR） algorithm, a Modification of the Switching CFAR（S-CFAR）, which takes into account the statistics of the sample in the test cell for reference sample selection. The algorithm employs a composite approach based on the Switching CFAR （S-CFAR） and Ordered Statistics with Greatest Option （OSGO-CFAR）. A mathematical analysis in homogeneous environment is provided for this detector. Monte Carlo simulation is given in homogonous background, multiple targets situation and clutter edge. The results show that the performance of SOSGO- CFAR is similar to that of CA-CFAR in homogeneous background. The ability to control false alarm of the SOSGO-CFAR is close to OSGO-CFAR in clutter edge background. The performance is far better than S- CFAR in multiple targets situation.

关 键 词：检测统计量 s-CFAR SOSGO-CFAR 多目标 杂波边缘 

分 类 号：TN911.7[电子电信—通信与信息系统]