测控技术2025，Vol.44Issue(11)：46-50,61,6.DOI:10.19708/j.ckjs.2025.11.302
一种基于位置的目标航迹数据粒子滤波方法
A Location-Based Target Trajectory Data Particle Filtering Method
梁建兴 1郭云峰 1张海龙 1赵镇 1张旭1
作者信息
- 1. 中国人民解放军63895 部队,河南 焦作 454750
- 折叠
摘要
Abstract
The tracking measurement data of moving target is the input source of situation display,and its meas-urement accuracy directly affects the command decision and decision results.Filtering the track measurement data of single station and single target can effectively reduce the measurement noise and accurately estimate the position of flight target.According to the process of radar tracking and measurement of flying target,the track state tracking and observation model of single flight target is established.Based on the study of particle filter al-gorithms such as optimal Bayesian estimation and importance sampling,the weight update algorithm based on measurement position is proposed and deduced,and the particle filter process of single station and single target track data based on position is established.Through the verification of the measurement data filtering of UAV by radar,the particle filtering method of single station and single target track data based on position can effec-tively reduce the radar observation error.Compared with the particle filtering method of track data based on distance and azimuth,the proposed method can further reduce the noise and improve the tracking measurement effect.关键词
无人机/重要性采样/航迹跟踪/权值更新Key words
UAV/importance sampling/trajectory tracking/weight update引用本文复制引用
梁建兴,郭云峰,张海龙,赵镇,张旭..一种基于位置的目标航迹数据粒子滤波方法[J].测控技术,2025,44(11):46-50,61,6.
