Research on multiple observation stations target tracking based on UKF algorithm

Lieping Zhang, Zhihao Li, Shenglan Zhang, Yanlin Yu, Yong Liang, Zuqiong Zhang
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Abstract

Aiming at the problem of multiple observation stations target tracking, a multiple observation stations target tracking based on the unscented Kalman filter (UKF) algorithm is studied. Firstly, the modeling principle of multiple observation stations target tracking is given. On this basis, the multiple observation stations target tracking based on the UKF algorithm is proposed. Finally, a simulation experiment was carried out through MATLAB. The simulation results show that compared with a single observation station, the UKF target tracking algorithm based on multiple observation stations has higher tracking accuracy.
基于UKF算法的多观测站目标跟踪研究
针对多观测站目标跟踪问题,研究了一种基于无嗅卡尔曼滤波(UKF)的多观测站目标跟踪算法。首先,给出了多观测站目标跟踪的建模原理。在此基础上,提出了基于UKF算法的多观测站目标跟踪。最后,通过MATLAB进行仿真实验。仿真结果表明,与单观测站相比,基于多观测站的UKF目标跟踪算法具有更高的跟踪精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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