Röbesaat, Jenny and Zhang, Peilin and Abdelaal, Mohamed and Theel, Oliver
(2017)
An improved BLE indoor localization with Kalman-based fusion: an experimental study.
Sensors, 17 (5).
p. 951.
ISSN 1424-8220
Abstract
Indoor positioning has grasped great attention in recent years. A number of efforts have been exerted to achieve high positioning accuracy. However, there exists no technology that proves its efficacy in various situations. In this paper, we propose a novel positioning method based on fusing trilateration and dead reckoning. We employ Kalman filtering as a position fusion algorithm. Moreover, we adopt an Android device with Bluetooth Low Energy modules as the communication platform to avoid excessive energy consumption and to improve the stability of the received signal strength. To further improve the positioning accuracy, we take the environmental context information into account while generating the position fixes. Extensive experiments in a testbed are conducted to examine the performance of three approaches: trilateration, dead reckoning and the fusion method. Additionally, the influence of the knowledge of the environmental context is also examined. Finally, our proposed fusion method outperforms both trilateration and dead reckoning in terms of accuracy: experimental results show that the Kalman-based fusion, for our settings, achieves a positioning accuracy of less than one meter.
| Item Type: |
Article
|
| Additional Information: |
Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg. |
| Uncontrolled Keywords: |
indoor localization, Bluetooth Low Energy, Kalman filter, dead reckoning, trilateration, data fusion |
| Subjects: |
Generalities, computers, information > Computer science, internet |
| Divisions: |
School of Computing Science, Business Administration, Economics and Law > Department of Computing Science |
| Date Deposited: |
27 Sep 2017 09:18 |
| Last Modified: |
07 Nov 2017 12:15 |
| URI: |
https://oops.uni-oldenburg.de/id/eprint/3326 |
| URN: |
urn:nbn:de:gbv:715-oops-34079 |
| DOI: |
doi:10.3390/s17050951 |
| Nutzungslizenz: |
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