Indoor Location Algorithm in Complex Wireless Environment
- https://doi.org/10.2991/icmmita-16.2016.31How to use a DOI?
- 3-dimensional positioning; TDOA; Two-Step Least Squares(TSLS); unscented Kalman filter (UKF); line-of-sight(LOS); non-line-of-sight(NLOS)
Aiming at the 3-dimensional positioning problem in the indoor wireless environment, TDOA-based localization model is presented in this paper. The Two-Step Least Squares(TSLS) and unscented Kalman filter (UKF) algorithm are used to solve the target's position. In the case that the line-of-sight(LOS) or non-line-of-sight (NLOS) environment is unknown, the algorithm can adaptively identify the environmental parameters, and can give the accurate positioning results of the target. The positioning accuracy of the algorithm can reach decimeter level, so the algorithm meets the need of the indoor positioning better.
- © 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/).
Cite this article
TY - CONF AU - Zhangang Wang AU - Zhiyu Lu AU - Hang Lu AU - Yankui Zhang AU - Donghang Jia PY - 2017/01 DA - 2017/01 TI - Indoor Location Algorithm in Complex Wireless Environment BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 158 EP - 165 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.31 DO - https://doi.org/10.2991/icmmita-16.2016.31 ID - Wang2017/01 ER -