Research Article
WIFI/PDR indoor integrated positioning system in a multi-floor environment
@ARTICLE{10.4108/eai.11-5-2018.155075, author={Mu Zhou and Maxim Dolgov and Yiyao Liu and Yanmeng Wang}, title={WIFI/PDR indoor integrated positioning system in a multi-floor environment}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={4}, number={14}, publisher={EAI}, journal_a={COGCOM}, year={2018}, month={7}, keywords={Extended Kalman Filter, Multi-Floor Positioning, Pedestrian Dead Reckoning, Wi-Fi Fingerprinting}, doi={10.4108/eai.11-5-2018.155075} }- Mu Zhou
Maxim Dolgov
Yiyao Liu
Yanmeng Wang
Year: 2018
WIFI/PDR indoor integrated positioning system in a multi-floor environment
COGCOM
EAI
DOI: 10.4108/eai.11-5-2018.155075
Abstract
To improve the accuracy of indoor positioning for location-based services, we created an improved WiFi/PDR integrated positioning and navigation system where we are using Extended Kalman filter (EKF). The proposed algorithm first relies on MEMS in our mobile phone to estimate the velocity and heading angles of the target. Second, the velocity and heading angles, together with the results of WiFi fingerprinting-based positioning, are considered as the input of the EKF for the sake of conducting two-dimensional positioning. Third, the proposed algorithm calculates the altitude of the target by using the real-time recorded barometer. The results of our experiments show that integrated navigation system using Extended Kalman filter can effectively eliminate the accumulated errors in the PDR positioning algorithm and can reduce the influence of the large-scale jump of the WiFi fingerprint positioning result brought by the RSSI disturbance on the positioning accuracy of the system.
Copyright © 2018 Mu Zhou et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
