基于EKF算法的UWB和ZigBee测量技术的混合运动目标定位

doi:10.3969/j.issn.0255-8297.2019.06.006

应用科学学报 ›› 2019, Vol. 37 ›› Issue (6): 815-824.doi: 10.3969/j.issn.0255-8297.2019.06.006

基于EKF算法的UWB和ZigBee测量技术的混合运动目标定位

王嫣¹, 常晓鹏², 张建平³

1. 郑州工程技术学院信息工程学院, 郑州 450044;
2. 河南财政金融学院软件学院, 郑州 450046;
3. 郑州工程技术学院信息工程学院, 郑州 450044

收稿日期:2018-10-21 修回日期:2019-06-21 出版日期:2019-11-30 发布日期:2019-12-06
作者简介:王嫣,副教授,研究方向:计算机网络与通信、互联网体系结构,E-mail:zzdxwyan@126.com
基金资助:
河南省科技攻关计划项目（No.162102210326）；河南省高等学校重点科研项目资助计划基金（No.16A880045）；郑州工程技术学院国家级课题培育基金（No.GJJKTPY2017K2）资助

Hybrid Moving Object Localization with EKF Based on Measurement Techniques of UWB and ZigBee

WANG Yan¹, CHANG Xiaopeng², ZHANG Jianping³

1. College of Information Engineering, Zhengzhou Institute of Technology, Zhengzhou 450044, China;
2. College of Software, Henan Finance University, Zhengzhou 450046, China;
3. College of Information Engineering, Zhengzhou Institute of Technology, Zhengzhou 450044, China

Received:2018-10-21 Revised:2019-06-21 Online:2019-11-30 Published:2019-12-06

摘要/Abstract

摘要： 为解决无线传感器网络中单一跟踪算法和测量技术不能获得运动目标高精度定位的问题，提出了一种将跟踪算法同时与不同测量技术相结合的混合式跟踪定位技术.通过对基于扩展卡尔曼滤波跟踪算法的分析，将基于UWB测量技术得到的距离测量值和基于ZigBee测量技术得到的接收信号强度测量值相融合，结合扩展卡尔曼滤波跟踪算法，得到一种对室内运动目标的混合式跟踪定位方法.实验表明，该混合定位方法能有效提高运动目标的定位精度.

关键词: 无线传感器网络, 运动目标定位, 扩展卡尔曼滤波, 无线测量技术, 定位精度, 室内定位

Abstract: In wireless sensor networks, either single tracking algorithm or single measurement technique cannot obtain high positioning accuracy for moving target tracking. To solve the problem, a hybrid localization technology composed of a tracking algorithm and different measuring techniques is proposed. The tracking algorithm based on the principle of extended Kalman filter is analyzed. By combining the distance values measured by ultra band width (UWB) technology and the receiving signal strength measured by ZigBee measuring technology, and applying them into the tracking algorithm based on extended Kalman filter, we achieve an approach of hybrid position tracking for moving objects in indoor environments. Experiment for indoor moving objects shows that the proposed position-tracking approach performs high localization accuracy.

Key words: wireless sensor networks, moving target localization, extended Kalman filter, wireless measuring technology, localization accuracy, indoor localization

中图分类号:

TP393.17

王嫣, 常晓鹏, 张建平. 基于EKF算法的UWB和ZigBee测量技术的混合运动目标定位[J]. 应用科学学报, 2019, 37(6): 815-824.

WANG Yan, CHANG Xiaopeng, ZHANG Jianping. Hybrid Moving Object Localization with EKF Based on Measurement Techniques of UWB and ZigBee[J]. Journal of Applied Sciences, 2019, 37(6): 815-824.

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基于EKF算法的UWB和ZigBee测量技术的混合运动目标定位

Hybrid Moving Object Localization with EKF Based on Measurement Techniques of UWB and ZigBee

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