Indoor Location Algorithm in Complex Wireless Environment

DOI

10.2991/icmmita-16.2016.31How to use a DOI?

Keywords

3-dimensional positioning; TDOA; Two-Step Least Squares(TSLS); unscented Kalman filter (UKF); line-of-sight(LOS); non-line-of-sight(NLOS)

Abstract

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.

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/).

Download article (PDF)

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  - 10.2991/icmmita-16.2016.31
ID  - Wang2017/01
ER  -