article · Proceedings of the 30th International Conference on Advances in Geographic Information Systems
Recently, commercially available off-the-shelf devices support the IEEE 802.11-2016 standard that implements a fine-time measurement (FTM) protocol for measuring the WiFi signal round trip time (RTT). This opens the door for a practical time-based localization where the clock synchronization problem between the transmitter and the receiver no longer exists. However, time-based techniques are highly affected by multipath propagation and non-line-of-sight transmissions. To combat these challenges, we present MagttLoc, a hybrid deep-learning-based indoor localization system that fuses magnetic measurements with WiFi RTT. MagttLoc yields a stable localization performance of decimeter-level accuracy improving upon the state-of-the-art systems in all experiments.
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DOI: 10.1145/3557915.3565535
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