A Particle Filtering Method for Radar Target Tracking

被引：0
|
作者：
Liang, Jianxing [1 ]
Chen, Qingliang [1 ]
Guo, Yunfeng [1 ]
Zhao, Zhen [1 ]
Lu, Sanhua [1 ]
机构：
[1] PLA, Unit 63895, Jiaozuo 454750, Peoples R China
来源：
2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC) | 2022年
关键词：
Bayesian estimation; Particle Filter; Importance sampling;
D O I：
10.1109/IAEAC54830.2022.9929462
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Observed radar measured data contains outlier and noise, thus it needs filtering. In this paper, linear and nonlinear filtering are analysed, then the state and observation equation of radar tracking are established, finally, the particle filtering process of flight tracking is derived based on the research of Bayesian estimation algorithm. The simulation effects show that the Particle Filtering algorithm converges faster and reduces the observed noise, and the tracking effect can be improved obvously.
引用
收藏
页码：617 / 620
页数：4
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