mD-Track: Leveraging Multi-Dimensionality in Passive Indoor Wi-Fi Tracking
December 07, 2018 Β· Declared Dead Β· π ACM/IEEE International Conference on Mobile Computing and Networking
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Authors
Yaxiong Xie, Jie Xiong, Mo Li, Kyle Jamieson
arXiv ID
1812.03103
Category
cs.NI: Networking & Internet
Citations
351
Venue
ACM/IEEE International Conference on Mobile Computing and Networking
Last Checked
3 months ago
Abstract
Wi-Fi localization and tracking face accuracy limitations dictated by antenna count (for angle-of-arrival methods) and frequency bandwidth (for time-of-arrival methods). This paper presents mD-Track a device-free Wi-Fi tracking system capable of jointly fusing information from as many dimensions as possible to overcome the resolution limit of each individual dimension. Through a novel path separation algorithm, mD-Track can resolve multipath at a much finer-grained resolution, isolating signals reflected off targets of interest. mD-Track can localize human passively at a high accuracy with just a single Wi-Fi transceiver pair. mD-Track also introduces novel methods to greatly streamline its estimation algorithms, achieving real-time operation. We implement mD-Track on both WARP and cheap off-the-shelf commodity Wi-Fi hardware and evaluate its performance in different indoor environments.
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