航空兵器2025，Vol.32Issue(3)：86-90,5.DOI:10.12132/ISSN.1673-5048.2025.0004
基于粒子滤波的弱小信号检测算法
Weak Signal Detection Algorithm Based on Particle Filtering
毛森鹏 1王鹏飞 1陈伟 2国磊1
作者信息
- 1. 中国空空导弹研究院,河南洛阳 471009
- 2. 中国空空导弹研究院,河南洛阳 471009||空基信息感知与融合全国重点实验室,河南洛阳 471009
- 折叠
摘要
Abstract
In the traditional particle filter algorithm,there exist problems such as poor robustness against noise and clutter,and difficulty in balancing the detection probability and false alarm probability.In the problem of detecting weak signals,due to the noise issue,it is more prone to missed detections and false detections.Meanwhile,if there is a large amount of background clutter around the weak signal,it will lead to a decrease in tracking accuracy.To address the problems arising in the signal processing under continuous clutter scenarios and improve the weak signal detection performance of the particle filter,this paper proposes an improved particle filter algorithm.Firstly,by modifying the likelihood ratio function,the influence of clutter on the detection probability is restricted.Secondly,the Bernoulli filter is used to set the detection probability of the signal,which significantly reduces the missed detection probability.Addi-tionally,different initial particle distributions are adjusted with or without prior probability,further enhancing the per-formance of the filter.Simulation results show that the detection probability of weak signals in the clutter background u-sing the improved particle filter algorithm has been significantly enhanced compared to the processing before the im-provement.关键词
粒子滤波/似然比/弱小信号/杂波抑制/目标检测Key words
particle filter/likelihood ratio/weak signal/clutter suppression/target detection分类
军事科技引用本文复制引用
毛森鹏,王鹏飞,陈伟,国磊..基于粒子滤波的弱小信号检测算法[J].航空兵器,2025,32(3):86-90,5.
