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作 者:许超 刘闯[1] 王羽飞 XU Chao;LIU Chuang;WANG Yufei(Xi'an ElectronicEngineeringResearch Institute,Xi'an 710100,China)
出 处:《火控雷达技术》2025年第1期49-54,共6页Fire Control Radar Technology
摘 要:针对有序统计(Order Statistics,OS)CFAR运算量大的问题,本文提出了一种基于均值选小(Smallest Of,SO)CFAR预筛选的改进OS(ISOS)CFAR检测算法,该算法在达到与OS-CFAR相同检测性能的同时可有效减少算法运行量。SO-CFAR筛选算法在参考单元两侧同时存在干扰时会出现漏筛现象,ISOS-CFAR通过滑窗保护(Slide Protect,SP)算法改善了这种漏筛现象。SO-CFAR筛选算法在杂波突变高功率区会出现误筛现象,ISOS-CFAR通过OS-CFAR二次检测避免了这种误筛现象。仿真实验结果证明了ISOS-CFAR算法的有效性与优越性。In order to address the problem of large computational volume of Order Statistics(OS)-CFAR,in this paper,an improved OS-CFAR algorithm was proposed based on Smallest Of(SO)-CFAR pre-screening,which achieved the same detection performance as OS-CFAR and greatly reduced the computationalvolume at the same time.The SO-CFAR screening algorithm will leak when there was interference on both sides of the reference unit,and ISOS-CFAR improved this leakage phenomenon through the Slide Protect(SP)algorithm.The SO-CFAR screening algorithm will have the phenomenon of false screening in the high-power region of clutter mutation,and ISOS-CFAR avoided this false screening phenomenon through the secondary detection of OS-CFAR.Simulation experiment results demonstrated the effectiveness and superiority of the ISOS-CFAR algorithm.
关 键 词:目标检测 预筛选 滑窗保护 SO-CFAR OS-CFAR
分 类 号:TN95[电子电信—信号与信息处理]
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