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一种基于EKF的WSN目标跟踪改进算法

李化 朱钾

山西大学学报(自然科学版)2017,Vol.40Issue(4):743-749,7.
山西大学学报(自然科学版)2017,Vol.40Issue(4):743-749,7.DOI:10.13451/j.cnki.shanxi.univ(nat.sci.).2017.04.013

一种基于EKF的WSN目标跟踪改进算法

An Improved WSN Target Tracking Algorithm Based on EKF

李化 1朱钾1

作者信息

  • 1. 太原理工大学信息工程学院,山西榆次030600
  • 折叠

摘要

Abstract

In the field of target tracking,wireless sensor networks have a wide range of applications.Aiming at the problem of nonlinear target tracking in EKF algorithm,a new improved algorithm is proposed by introducing RSSI distance weighted centroid algorithm based on the EKF algorithm.Combining the observation value of the node and the RSSI distance weighted centroid algorithm to the target's location value effectively in the EKF algorithm,it can effectively improve the accuracy of the target tracking and reduce the tracking error.Through the algorithm simulation,compared with several positioning algorithms and nonlinear filtering algorithms,the improved algorithm can achieve good results in all aspects and has a high real-time performance.

关键词

WSN目标跟踪/EKF算法/加权质心算法

Key words

WSN target tracking/EKF algorithm/weighted centroid algorithm

分类

信息技术与安全科学

引用本文复制引用

李化,朱钾..一种基于EKF的WSN目标跟踪改进算法[J].山西大学学报(自然科学版),2017,40(4):743-749,7.

基金项目

山西省自然科学基金(2014011019-1) (2014011019-1)

中国国家留学基金委(201606935043) (201606935043)

山西大学学报(自然科学版)

OA北大核心CSCDCSTPCD

0253-2395

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