Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering

An Indoor Positioning Algorithm using Bluetooth Low Energy RSSI

Authors
Song Chai, Renbo An, Zhengzhong Du
Corresponding Author
Song Chai
Available Online April 2016.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/amsee-16.2016.72
ISSN
2352-5401
DOI
https://doi.org/10.2991/amsee-16.2016.72How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/amsee-16.2016.72
ID  - Chai2016/04
ER  -