(IEEE, 2019) Alwin, Poulose; Odongo, Steven Eyobu; Han, Dong Seog
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.