WSN Mobile Target Tracking Based on Improved Snake-Extended Kalman Filtering Algorithm  

作　　者：Duo Peng Kun Xie Mingshuo Liu 

机构地区：[1]School of Computer and Communication of Lanzhou University of Technology,Lanzhou Gansu 730050,China

出　　处：《Journal of Beijing Institute of Technology》2024年第1期28-40,共13页北京理工大学学报（英文版）

基　　金：supported by National Natural Science Foundation of China (Nos.62265010,62061024);Gansu Province Science and Technology Plan (No.23YFGA0062);Gansu Province Innovation Fund (No.2022A-215)。

摘　　要：A wireless sensor network mobile target tracking algorithm(ISO-EKF)based on improved snake optimization algorithm(ISO)is proposed to address the difficulty of estimating initial values when using extended Kalman filtering to solve the state of nonlinear mobile target tracking.First,the steps of extended Kalman filtering(EKF)are introduced.Second,the ISO is used to adjust the parameters of the EKF in real time to adapt to the current motion state of the mobile target.Finally,the effectiveness of the algorithm is demonstrated through filtering and tracking using the constant velocity circular motion model(CM).Under the specified conditions,the position and velocity mean square error curves are compared among the snake optimizer(SO)-EKF algorithm,EKF algorithm,and the proposed algorithm.The comparison shows that the proposed algorithm reduces the root mean square error of position by 52%and 41%compared to the SOEKF algorithm and EKF algorithm,respectively.

关 键 词：wireless sensor network(WSN)target tracking snake optimization algorithm extended Kalman filter maneuvering target 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]