Research on Indoor Dynamic Positioning Algorithm Based on WiFi

DOI

10.2991/icmmcce-17.2017.40How to use a DOI?

Keywords

wifi; weighted RSS algorithm; indoor positioning

Abstract

With the popularization of WiFi infrastructure in the indoor space and the rapid development of mobile intelligent devices, it brings new vitality to indoor positioning applications. The indoor positioning method based on WiFi is affected by the interference of indoor environment and the heterogeneity of mobile intelligent devices, thus resulting in great error in positioning accuracy. In this paper, the method of improving indoor positioning accuracy is proposed based on the indoor WiFi signal and the design of data collected by the multi-sensor set inside the mobile intelligent device. This paper proposes a weighted RSS indoor positioning algorithm; with the help ofsensor with high sensitivity builtin mobile device, it identifies the user behavior state. In the multi-floor indoor environment, it effectively improves the positioning accuracy of the algorithm; finally, we propose a WiFi indoor positioning algorithm based on sensor data fusion: hybrid multi-floor indoor positioning algorithm. The results showed that the multi-floor hybrid indoor positioning algorithm, based on the former one, organically integrated inertial positioning algorithm. As a result, it has a certain improvement in the positioning accuracy, positioning smoothness and real-time positioning.

Copyright

© 2017, 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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TY  - CONF
AU  - Yan Zeng
PY  - 2017/09
DA  - 2017/09
TI  - Research on Indoor Dynamic Positioning Algorithm Based on WiFi
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 194
EP  - 198
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.40
DO  - 10.2991/icmmcce-17.2017.40
ID  - Zeng2017/09
ER  -