A Combined PDR and Wi-Fi Trilateration Algorithm for Indoor Localization
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Indoor localization using Wi-Fi or pedes-
trian dead reckoning (PDR) has several limitations in
terms of Wi-Fi signal fluctuations and PDR drift errors.
To overcome these limitations, we propose a sensor
fusion framework for Wi-Fi and PDR systems. The pro-
posed sensor fusion will overcome the PDR drift errors
by analysing the Wi-Fi signal strength and the PDR
results will compensate the Wi-Fi signal fluctuations.
Based on the experiments conducted, results show that
the proposed fusion indoor positioning algorithm shows
high position accuracy over Wi-Fi localization and
PDR systems when used independently. Our proposed
combined position estimation algorithm achieves an
improved average localization accuracy of 1.6 m when
compared to the Wi-Fi and PDR systems when used
independently.
Description
Keywords
Indoor localization, Wi-Fi, Smart phone, Quaternion, Kalman filter, Sensor fusion, Pedes- trian dead reckoning (PDR), Android-based smart- phone, Trilateration, RSSI
Citation
Poulose, A., Eyobu, O. S., & Han, D. S. (2019, February). A combined PDR and Wi-Fi trilateration algorithm for indoor localization. In 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 072-077). IEEE.