A Method of Map Matching based on Particle Filter in Indoor Positioning

DOI

10.2991/asei-15.2015.184How to use a DOI?

Keywords

Indoor Positioning, Map matching, Sensor, Particle filter.

Abstract

Map information and sensor information is considered to be an effective way to assist indoor wireless location. Wireless location combined with map information and Sensor information can solve many problem such as positioning point cross the wall, falling into the wrong room. In this paper, a new indoor map matching algorithm was proposed based on particle filter. The indoor positioning system could be considered as non-linear system, so Non-parametric Monte Carlo (Monte Carlo) simulation method could achieve recursive Bayesian filtering, at the same time, the indoor GIS data, and sensor information, wireless location information was incorporated into the weight value of the particles to revise the observations constantly. Many experiments show that the indoor positioning accuracy is improved.

Copyright

© 2015, 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  - Zhongliang Deng
AU  - Fengli Ruan
AU  - Shunbao Lu
AU  - Ruoyu Zheng
AU  - Hui Zeng
AU  - Yeqing Fang
AU  - Yi Yang
PY  - 2015/05
DA  - 2015/05
TI  - A Method of Map Matching based on Particle Filter in Indoor Positioning
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 923
EP  - 928
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.184
DO  - 10.2991/asei-15.2015.184
ID  - Deng2015/05
ER  -