%0 Journal Article
%A CHEN Peng-peng
%A LI Tao
%A LIU Fen
%A WANG Wen-han
%A CHANG Zi-ying
%T A Fingerprint Localization Method Based on Shapelet Algorithm
%D 
%R 10.13190/j.jbupt.2019-223
%J Journal of Beijing University of Posts and Telecommunications
%P 95-100
%V 43
%N 4
%X Due to large influence of time and space on channel state information (CSI),the existing CSI-based indoor positioning technology is poor in robustness.Aiming at this problem,a fingerprint positioning method based on Shapelet algorithm is proposed.In the training phase,CSI is taken as the original location data,and the original data is processed and corrected by the <i>3-&#963;</i> anomaly value processing method and the Kalman filter;then the fingerprint of each location is extracted and the fingerprint database is established by using the Shapelet algorithm;Finally,the fingerprint database is used to construct the Shapelet decision tree,and the decision tree classification is used to achieve more accurate positioning.Compared with the principal components analysis algorithm and,<i>k</i>-nearest neighbor algorithm,It is shown that the method has higher positioning accuracy and stable performance at different times,and the training set is smaller.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2019-223