an Improved Indoor Geolocation Algorithm based on Log-distance Path Loss Model
Authors
Liang Pei, Shixuan Liu, Bo Wang, Wenqing Li
Corresponding Author
Liang Pei
Available Online May 2016.
- DOI
- 10.2991/iccita-16.2016.49How to use a DOI?
- Keywords
- Indoor geolocation, RSSI, fingerprint, log-distance path loss model.
- Abstract
This paper proposes an indoor localization algorithm based on Log-distance path loss model. The two parameters of the Log-distance path loss model are estimated by the measured RSSI data. Then the two step filtering was carried out to keep the RSSI signals with the higher probabilities. Finally the Taylor's series iteration method is used to compute the position coordinate of the moving objects. The experiment results show that the location error is no more than 3m.
- 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 - Liang Pei AU - Shixuan Liu AU - Bo Wang AU - Wenqing Li PY - 2016/05 DA - 2016/05 TI - an Improved Indoor Geolocation Algorithm based on Log-distance Path Loss Model BT - Proceedings of the 2016 International Conference on Computer and Information Technology Applications PB - Atlantis Press SP - 263 EP - 270 SN - 2352-538X UR - https://doi.org/10.2991/iccita-16.2016.49 DO - 10.2991/iccita-16.2016.49 ID - Pei2016/05 ER -