A Method of Map Matching based on Particle Filter in Indoor Positioning
- 10.2991/asei-15.2015.184How to use a DOI?
- Indoor Positioning, Map matching, Sensor, Particle filter.
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.
- © 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/).
Cite this article
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 -