一种基于加权递推滤波的门限优化检测方法  

A Threshold Optimization Detection Algorithm Based on Weighted Recursive Filter

作　　者：董晓璇 程嗣怡[1] 罗朝义 王玉冰[1] DONG Xiaoxuan;CHENG Siyi;LUO Chaoyi;WANG Yubing(Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xi'an 710038,China)

机构地区：[1]空军工程大学航空航天工程学院,西安710038

出　　处：《现代雷达》2019年第1期19-25,共7页Modern Radar

基　　金：航空科学基金资助项目(20152096019)

摘　　要：针对多种杂波以及非均匀噪声环境中的目标恒虚警检测,提出了基于加权递推滤波的门限优化检测方法。该算法对参考单元内的样本数据依权重加权递推出滤波门限,自适应地实现门限的动态调整,从而使优化的滤波门限适应环境噪声功率。在均匀杂波和杂波边缘背景下对该算法的检测效应进行仿真分析,仿真结果表明:在两种杂波背景下,相较于传统的检测算法,文中提出的方法具有更好的检测性能和虚警控制性能。For target constant false alarm rate detection in multi-clutter and non-uniform noisy environment,a threshold optimization detection algorithm based on weighted recursive filter is proposed. The algorithm weighted pass out filter threshold according to weight for sample data in reference unit. the threshold is achieved dynamic adjustment to adapt to the environment noise power. The simulation is held to analyze the algorithm detection performance in the uniform clutter and clutter edge background. The simulation results show that the detection and false alarm control performance of novel method are better compared with traditional detection algorithm under two clutter backgrounds.

关 键 词：恒虚警检测 加权递推滤波 门限优化 杂波边缘 

分 类 号：TN957.51[电子电信—信号与信息处理]