Trinh, Vu Tuan Anh and Dinh, Thi Thai Mai and Nguyen, Quoc Tuan and Sandrasegaran, Kumbesan (2018) Indoor Positioning using BLE iBeacon, smartphone Sensors and Distance-based Position Correction Algorithm. In: The 4th International Conference on Research in Intelligent and Computing in Engineering.
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Abstract
In this paper, we propose a Bluetooth Low Energy (BLE) iBeacon based localization system, in which we combine two popular positioning methods: Pedestrian Dead Reckoning (PDR) and fingerprinting. As we build the system as an application running on an iPhone, we choose Kalman filter as the fusion algorithm to avoid complex computation. In fingerprinting, a multi-direction-database approach is applied. Finally, in order to reduce the cumulative error of PDR due to smartphone sensors, we propose an algorithm that we name “Distance-based position correction”. The aim of this algorithm is to occasionally correct the tracked position by using the iBeacon nearest to the user. In real experiments, our system can run smoothly on an iPhone, with the average positioning error of only 0.63 m.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Electronics and Communications > Communications Electronics and Communications |
| Divisions: | Faculty of Electronics and Telecommunications (FET) |
| Depositing User: | Dr. Thai-Mai Dinh Thi |
| Date Deposited: | 06 Dec 2019 11:40 |
| Last Modified: | 06 Dec 2019 11:40 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3684 |
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