Extended Kalman Filter for Mobile Groups Users Localization in Internet of Things

doi:10.13190/j.jbupt.2018-216

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2019, Vol. 42 ›› Issue (2): 95-100.doi: 10.13190/j.jbupt.2018-216

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Extended Kalman Filter for Mobile Groups Users Localization in Internet of Things

LIANG Yu-zhu¹, SHEN Xue-wei¹, QIU Lei¹, CHEN Bai-sheng¹, WANG Tian^1,2

1. College of Computer Science and Technology, Huaqiao University, Fujian Xiamen 361021, China;
2. The State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao 999078, China

Received:2018-09-09 Online:2019-04-28 Published:2019-04-09

Abstract

Abstract: In order to meet the requirement of high localization accuracy and the high reliable localization in some scenarios, the user nodes to be located were taken as a group to get better localization performance by utilizing the mutual distance information among them. A mobile group localization method was designed based on extended Kalman filter, which can alleviate the influence caused by environmental noisy and unstable wireless signals. Besides, a real system was implemented and experiments were performed on the campus of University. The experimental evaluations prove that the performance of the proposed method can effectively improve the localization accuracy.

Key words: cooperative localization, Kalman filter, localization performance, mobile groups

CLC Number:

TN929.53

LIANG Yu-zhu, SHEN Xue-wei, QIU Lei, CHEN Bai-sheng, WANG Tian. Extended Kalman Filter for Mobile Groups Users Localization in Internet of Things[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(2): 95-100.

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Extended Kalman Filter for Mobile Groups Users Localization in Internet of Things

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