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|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.|
|Citation:||Xie, Yaxiong, Jie Xiong, Mo Li, and Kyle Jamieson. "mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking." In 25th Annual International Conference on Mobile Computing and Networking (2019): pp. 1-16. doi:10.1145/3300061.3300133|
|Pages:||1 - 16|
|Type of Material:||Conference Article|
|Journal/Proceeding Title:||25th Annual International Conference on Mobile Computing and Networking|
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