xD-track: Leveraging multi-dimensional information for passive wi-fi tracking

We describe the design and implementation of xD-Track, the first practical Wi-Fi based device-free localization system that employs a simultaneous and joint estimation of time-of-flight, angle-of-arrival, angle-of-departure, and Doppler shift to fully characterize the wireless channel between a send...

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Main Authors: XIE, Yaxiong, Jie XIONG, LI, Mo, JAMIESON, Kyle
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Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/3388
https://ink.library.smu.edu.sg/context/sis_research/article/4389/viewcontent/xDTrack_HotWireless_2016_afv.pdf
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spelling sg-smu-ink.sis_research-43892017-01-09T08:15:06Z xD-track: Leveraging multi-dimensional information for passive wi-fi tracking XIE, Yaxiong Jie XIONG, LI, Mo JAMIESON, Kyle We describe the design and implementation of xD-Track, the first practical Wi-Fi based device-free localization system that employs a simultaneous and joint estimation of time-of-flight, angle-of-arrival, angle-of-departure, and Doppler shift to fully characterize the wireless channel between a sender and receiver. Using this full characterization, xD-Track introduces novel methods to measure and isolate the signal path that reflects off a person of interest, allowing it to localize a human with just a single pair of access points, or a single client-access point pair. Searching the multiple dimensions to accomplish the above is highly computationally burdensome, so xD-Track introduces novel methods to prune computational requirements, making our approach suitable for real-time person tracking. We implement xD-Track on the WARP software-defined radio platform and evaluate in a cluttered office environment. Experiments tracking people moving indoors demonstrate a 230% angle-of-arrival accuracy improvement and a 98% end-to-end tracking accuracy improvement over the state of the art localization scheme SpotFi, adapted for device-free localization. The general platform we propose can be easily extended for other applications including gesture recognition and Wi-Fi imaging to significantly improve performance. 2016-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3388 info:doi/10.1145/2980115.2980127 https://ink.library.smu.edu.sg/context/sis_research/article/4389/viewcontent/xDTrack_HotWireless_2016_afv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Software Engineering
spellingShingle Computer Sciences
Software Engineering
XIE, Yaxiong
Jie XIONG,
LI, Mo
JAMIESON, Kyle
xD-track: Leveraging multi-dimensional information for passive wi-fi tracking
description We describe the design and implementation of xD-Track, the first practical Wi-Fi based device-free localization system that employs a simultaneous and joint estimation of time-of-flight, angle-of-arrival, angle-of-departure, and Doppler shift to fully characterize the wireless channel between a sender and receiver. Using this full characterization, xD-Track introduces novel methods to measure and isolate the signal path that reflects off a person of interest, allowing it to localize a human with just a single pair of access points, or a single client-access point pair. Searching the multiple dimensions to accomplish the above is highly computationally burdensome, so xD-Track introduces novel methods to prune computational requirements, making our approach suitable for real-time person tracking. We implement xD-Track on the WARP software-defined radio platform and evaluate in a cluttered office environment. Experiments tracking people moving indoors demonstrate a 230% angle-of-arrival accuracy improvement and a 98% end-to-end tracking accuracy improvement over the state of the art localization scheme SpotFi, adapted for device-free localization. The general platform we propose can be easily extended for other applications including gesture recognition and Wi-Fi imaging to significantly improve performance.
format text
author XIE, Yaxiong
Jie XIONG,
LI, Mo
JAMIESON, Kyle
author_facet XIE, Yaxiong
Jie XIONG,
LI, Mo
JAMIESON, Kyle
author_sort XIE, Yaxiong
title xD-track: Leveraging multi-dimensional information for passive wi-fi tracking
title_short xD-track: Leveraging multi-dimensional information for passive wi-fi tracking
title_full xD-track: Leveraging multi-dimensional information for passive wi-fi tracking
title_fullStr xD-track: Leveraging multi-dimensional information for passive wi-fi tracking
title_full_unstemmed xD-track: Leveraging multi-dimensional information for passive wi-fi tracking
title_sort xd-track: leveraging multi-dimensional information for passive wi-fi tracking
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/sis_research/3388
https://ink.library.smu.edu.sg/context/sis_research/article/4389/viewcontent/xDTrack_HotWireless_2016_afv.pdf
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