基于自适应阈值选择的分布式多策略CFAR检测算法

刘佳; 肖鹏斌; 袁有宏

doi:doi:10.3969/j.issn.1671-637x.2020.09.012

电光与控制, 2020, 27 (9): 60, 网络出版: 2020-12-25

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

论文大纲

刘佳肖鹏斌袁有宏

作者单位

海军装备部, 兰州 730070

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。

Abstract

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.

参考文献

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刘佳, 肖鹏斌, 袁有宏. 基于自适应阈值选择的分布式多策略CFAR检测算法[J]. 电光与控制, 2020, 27(9): 60. LIU Jia, XIAO Pengbin, YUAN Youhong. Distributed Multi-strategy CFAR Detection Algorithm Based on Adaptive Threshold Selection[J]. Electronics Optics & Control, 2020, 27(9): 60.

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