一种基于改进的无迹卡尔曼滤波跟踪方法分析
Analysis of an Improved Tracking Method Based on Unscented Kalman Filter
李霄 1陈锡锻1
作者信息
- 1. 浙江工贸职业技术学院,浙江 325000
- 折叠
摘要
阐述为了提高系统的鲁棒性,在传统的UKF基础上,提出一种改进的UKF算法,使其更好地处理移动目标跟踪过程中量测信息存在干扰的问题.仿真表明,MUKF方法比传统的UKF方法跟踪精度更高.
Abstract
This paper describes improving the robustness of the system.On the basis of traditional UKF,it proposes an improved UKF algorithm to better handle the problem of measurement information interference in the process of moving target tracking.Simulation shows that the MUKF method has higher tracking accuracy than the traditional UKF method.
关键词
目标跟踪/非线性/MUKFKey words
target tracking/nonlinearity/MUKF引用本文复制引用
出版年
2024
NETL
NSTL
万方数据