An Indoor Positioning Algorithm using Bluetooth Low Energy RSSI

DOI

10.2991/amsee-16.2016.72How to use a DOI?

Keywords

bluetooth low energy; RSSI; indoor positioning

Abstract

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 0.2~0.5m.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Song Chai
AU  - Renbo An
AU  - Zhengzhong Du
PY  - 2016/04
DA  - 2016/04
TI  - An Indoor Positioning Algorithm using Bluetooth Low Energy RSSI
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 274
EP  - 276
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.72
DO  - 10.2991/amsee-16.2016.72
ID  - Chai2016/04
ER  -