An Indoor Positioning Algorithm using Bluetooth Low Energy RSSI
- https://doi.org/10.2991/amsee-16.2016.72How to use a DOI?
- bluetooth low energy; RSSI; indoor positioning
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.
- © 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 -