福建电脑2025，Vol.41Issue(11)：32-36,5.DOI:10.16707/j.cnki.fjpc.2025.11.006
自适应EKF算法的雷达跟踪目标研究
Research on Radar Tracking Target with Adaptive EKF Algorithm
摘要
Abstract
To improve the accuracy of radar target tracking under nonlinear motion models and noise mismatch,this paper proposes an adaptive EKF algorithm based on residual sequences.Using the MATLAB simulation platform,simulate the motion trajectories of three types of targets:humans,electric vehicles,and automobiles,and compare and analyze the actual trajectories,radar measurement trajectories,and adaptive EKF tracking trajectories.The experimental results show that the algorithm can reduce the ranging RMSE of high-speed targets by 27.9%,improve the accuracy of low-speed targets by 1.9%,and the error fluctuation amplitude is less than 2.15m when the target accelerates rapidly,significantly improving tracking stability.关键词
车联网编队/FMCW雷达/自适应EKF/高精度测距Key words
Connected Vehicle Formation/FMCW Radar/Adaptive EKF/High Precision Distance Measurement分类
信息技术与安全科学引用本文复制引用
尹立强,赵欣,张志霞..自适应EKF算法的雷达跟踪目标研究[J].福建电脑,2025,41(11):32-36,5.基金项目
本文得到河南省科技攻关项目(No.232102210140)、河南省科技攻关项目(No.242102210025)资助. （No.232102210140）
