基于自适应阈值选择的分布式多策略CFAR检测算法  

Distributed Multi-strategy CFAR Detection Algorithm Based on Adaptive Threshold Selection

作　　者：刘佳 肖鹏斌 袁有宏 LIU Jia;XIAO Pengbin;YUAN Youhong(Naval Equipment Department,Lanzhou 730070,China)

机构地区：[1]海军装备部,兰州730070

出　　处：《电光与控制》2020年第9期60-65,共6页Electronics Optics & Control

摘　　要：在复杂环境下的信号检测中,目标所在的杂波环境往往无法预先确定,这时选用针对性较强的单一CFAR检测策略往往会出现不同程度的损失,灵活性较差。因此,采用一种基于自适应阈值选择的多策略CFAR检测算法,结合CA,GO和ACCA等检测算法的优点,通过对当前杂波背景的判断,合理选择相应的策略。此外,研究了采用该复合算法作为局部检测器的分布式CFAR系统,融合准则采用“与”和“或”两种方式,最后通过仿真对算法的性能进行了验证。In signal detection of the complex environment,the clutter environment where a target is located can not be pre-determined,at this time the use of targeted single CFAR detection strategy tend to have varying degrees of loss,and flexibility is poor.Therefore,a multi-strategy CFAR detection algorithm based on adaptive threshold selection is used,combining the advantages of CA,GO and ACCA detection algorithms,and the corresponding strategies are selected reasonably by judging the current clutter background.In addition,the distributed CFAR system using the composite algorithm as a local detector is studied and the fusion criterion adopts“and”and“or”rules.Finally,the performance of the algorithm is verified by simulation.

关 键 词：雷达信号检测 复杂杂波环境 CFAR 分布式恒虚警 “与”融合 “或”融合 

分 类 号：TN957.51[电子电信—信号与信息处理]