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.