MD-Track: Leveraging multi-dimensionality in passive indoor Wi-Fi tracking

Yaxiong Xie, Mo Li, Jie Xiong, Kyle Jamieson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationMobiCom 2019 - Proceedings of the 25th Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450361699
DOIs
StatePublished - Aug 7 2019
Event25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 - Los Cabos, Mexico
Duration: Oct 21 2019Oct 25 2019

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019
CountryMexico
CityLos Cabos
Period10/21/1910/25/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Keywords

  • AoA
  • Diversity
  • Doppler
  • Localization
  • Multi-dimensional Estimation
  • Super-resolution Algorithm
  • ToF

Fingerprint Dive into the research topics of 'MD-Track: Leveraging multi-dimensionality in passive indoor Wi-Fi tracking'. Together they form a unique fingerprint.

  • Cite this

    Xie, Y., Li, M., Xiong, J., & Jamieson, K. (2019). MD-Track: Leveraging multi-dimensionality in passive indoor Wi-Fi tracking. In MobiCom 2019 - Proceedings of the 25th Annual International Conference on Mobile Computing and Networking (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM). Association for Computing Machinery. https://doi.org/10.1145/3300061.3300133