Maximum Likelihood Estimation and Centroiding Hybrid RSSI-based Indoor Positioning

DOI

10.2991/icmemtc-16.2016.235How to use a DOI?

Keywords

Wireless positioning; RSSI; maximum likelihood estimation; centroiding algorithm

Abstract

RSSI-based positioning technology suffers from accuracy degradation due to complex indoor environment, and traditional weighted centroid algorithm hardly satisfies people's accuracy requirements. In this paper, a hybrid RSSI based positioning algorithm is proposed. Firstly, maximum likelihood estimation method is used to estimate the rough information of positioning target; then, optimized weighted centroiding algorithm is adopted to obtain its accurate coordinates, which further improves the positioning accuracy. Simulation results have verified the superiority of this hybrid algorithm compared with traditional algorithms.

Copyright

© 2016, 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  - Shan Liu
AU  - Shengliang Peng
AU  - Zhi Wang
PY  - 2016/04
DA  - 2016/04
TI  - Maximum Likelihood Estimation and Centroiding Hybrid RSSI-based Indoor Positioning
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1187
EP  - 1192
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.235
DO  - 10.2991/icmemtc-16.2016.235
ID  - Liu2016/04
ER  -