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

Abstract

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

CLC Number:

TP393.17

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

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