Design and Simulation of Indoor Position System Based on PDR and Least Square RSSI Estimation

DOI

10.2991/icmmita-15.2015.235How to use a DOI?

Keywords

Indoor Position System; PDR; Least Square RSSI Estimation; and RSSI Position Algorithm

Abstract

In this paper, we at first proposed a Least Square RSSI Estimation algorithm for the indoor wireless position. Next, a wireless indoor position system is designed based on the proposed algorithm and the PDR (Pedestrian Dead Reckoning) is used to correct the deviation of RSSI indoor position algorithm in this system. The simulations showed that the proposed method has a 34% accuracy improvement over systems based on the traditional RSSI indoor position algorithm. The proposed system provides a new algorithm for the indoor wireless position.

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  - Jiahui Lu
AU  - Zhigang Wen
PY  - 2015/11
DA  - 2015/11
TI  - Design and Simulation of Indoor Position System Based on PDR and Least Square RSSI Estimation
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1272
EP  - 1278
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.235
DO  - 10.2991/icmmita-15.2015.235
ID  - Lu2015/11
ER  -