%0 Journal Article
%A LI Ying
%A LIU Yong
%A XIAO Ren-rong
%A YU Hao
%A YU Xiu-wu
%T APIT Location Algorithm Based on Weighted Hybrid Filtering and Center of Gravity Method
%D 2019
%R 10.13190/j.jbupt.2018-313
%J Journal of Beijing University of Posts and Telecommunications
%P 32-37,75
%V 42
%N 4
%X An improved approximate point-in-triangulation test (APIT) localization algorithm which based on weighted hybrid filtering and center of gravity method (HFG-APIT) was proposed. Hybrid filtering is used to filter abrupt signal strength values to make the data output smoothly and stably. Weighted median is then used to improve the accuracy of received signal strength indication (RSSI), the center of gravity method is used for interior point testing to reduce misjudgment and improve localization accuracy. Simulation results show that the hybrid filtering algorithm has higher ranging accuracy than other filtering methods in processing RSSI data and the localization errors of HFG-APIT are 41.7% and 23.8% of RSSI localization algorithm based on least squares method (LSM-RSSI) and APIT localization algorithm, the localization performance is also better than the other two algorithms.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-313