An Indoor Positioning Algorithm Using Bluetooth Low Energy RSSI

被引：0
|
作者：
Chai, Song [1 ]
An, Renbo [1 ]
Du, Zhengzhong [1 ]
机构：
[1] Southwest Univ Nationalities, Coll Elect & Informat Engn, Chengdu, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS SCIENCE AND ENVIRONMENTAL ENGINEERING | 2016年 / 52卷
关键词：
bluetooth low energy; RSSI; indoor positioning;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
As the Bluetooth technology evolves to its 4.0 version, great applicational opportunities emerge based on the inquiry of Received Signal Strength Index (RSSI). In this paper, a positioning algorithm using Bluetooth Low Energy RSSI is proposed for indoor application. First in our algorithm, RSSI value is pre-processed: outliers of RSSI are removed, and moving average of RSSI is calculated. Then distance is determined using pre-processed RSSI and Kalman filtering. Finally, a triangulation algorithm is used to calculate the current location of the mobile device. Experiment results show that our algorithm achieves positioning accuracy of 0.2 similar to 0.5m.
引用
收藏
页码：276 / 278
页数：3
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