APIT Location Algorithm Based on Weighted Hybrid Filtering and Center of Gravity Method

被引：0
|
作者：
Yu X.-W. [1 ]
Yu H. [1 ]
Liu Y. [1 ]
Xiao R.-R. [1 ]
Li Y. [1 ]
机构：
[1] School of Resource & Environment and Safety Engineering, University of South China, Hengyang, 421001, Hunan
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2019年 / 42卷 / 04期
关键词：
Approximate point-in-triangulation test; Center of gravity method; Hybrid filtering; Weighted median;
D O I：
10.13190/j.jbupt.2018-313
中图分类号：
学科分类号：
摘要：
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. © 2019, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
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页码：32 / 37and75
页数：3743
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