@inproceedings{d87d8690dc194745843a136fef4b26b7,
title = "MD-Track: Leveraging multi-dimensionality in passive indoor Wi-Fi tracking",
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 fner-grained resolution, isolating signals refected of 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 of-the-shelf commodity Wi-Fi hardware, and evaluate its performance in diferent indoor environments.",
keywords = "AoA, Diversity, Doppler, Localization, Multi-dimensional Estimation, Super-resolution Algorithm, ToF",
author = "Yaxiong Xie and Mo Li and Jie Xiong and Kyle Jamieson",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 ; Conference date: 21-10-2019 Through 25-10-2019",
year = "2019",
month = aug,
day = "7",
doi = "10.1145/3300061.3300133",
language = "English (US)",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
booktitle = "MobiCom 2019 - Proceedings of the 25th Annual International Conference on Mobile Computing and Networking",
}