Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

WLAN/inertial sensors combined positioning system

Authors
Zheng Chen, Tongyu Zhu
Corresponding Author
Zheng Chen
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.146How to use a DOI?
Keywords
WLAN; inertial sensors; combined positioning system; particle filter
Abstract
RSS (Received signal strength) floating is the major limit to WLAN (wireless local area network) based positioning accuracy. We proposes an algorithm based on particle filter in order to realize a WLAN/inertial sensors combined positioning system using inertial sensors in the intelligent mobile terminals. The system fuses the complementary information from WLAN and inertial sensors positioning techniques to correct the positioning error due to the RSS floating and the accumulated error of inertial sensors. The experimental results show that the positioning accuracy of the proposed system is reduced by 49% and 88% as compared with WLAN based system and inertial sensors based system.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.146How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zheng Chen
AU  - Tongyu Zhu
PY  - 2015/12
DA  - 2015/12
TI  - WLAN/inertial sensors combined positioning system
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.146
DO  - https://doi.org/10.2991/icmmcce-15.2015.146
ID  - Chen2015/12
ER  -