%0 Journal Article
%A CHEN Bai-sheng
%A LIANG Yu-zhu
%A QIU Lei
%A SHEN Xue-wei
%A WANG Tian
%T Extended Kalman Filter for Mobile Groups Users Localization in Internet of Things
%D 2019
%R 10.13190/j.jbupt.2018-216
%J Journal of Beijing University of Posts and Telecommunications
%P 95-100
%V 42
%N 2
%X 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.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-216