ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless
Indoor localization of mobile devices and tags has received much attention recently, with encouraging fine-grained localization results available with enough line-of-sight coverage and hardware infrastructure. Some of the most promising techniques analyze the time-of-arrival of incoming signals, but...
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sg-smu-ink.sis_research-36982016-12-29T08:37:01Z ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless XIONG, Jie SUNDARESAN, Karthikeyan JAMIESON, Kyle Indoor localization of mobile devices and tags has received much attention recently, with encouraging fine-grained localization results available with enough line-of-sight coverage and hardware infrastructure. Some of the most promising techniques analyze the time-of-arrival of incoming signals, but the limited bandwidth available to most wireless transmissions fundamentally constrains their resolution. Frequency-agile wireless networks utilize bandwidths of varying sizes and locations in a wireless band to effi- ciently share the wireless medium between users. ToneTrack is an indoor location system that achieves sub-meter accuracy with minimal hardware and antennas, by leveraging frequency-agile wireless networks to increase the effective bandwidth. Our novel signal combination algorithm combines time-of-arrival data from different transmissions as a mobile device hops across different channels, approaching time resolutions previously not possible with a single narrowband channel. ToneTrack’s novel channel combination and spectrum identification algorithms together with the triangle inequality scheme yield superior results even in non-line-ofsight scenarios with one to two walls separating client and APs and also in the case where the direct path from mobile client to an AP is completely blocked. We implement ToneTrack on the WARP hardware radio platform and use six of them served as APs to localize Wi-Fi clients in an indoor testbed over one floor of an office building. Experimental results show that ToneTrack can achieve a median 90 cm accuracy when 20 MHz bandwidth APs overhear three packets from adjacent channels 2015-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2698 info:doi/10.1145/2789168.2790125 https://ink.library.smu.edu.sg/context/sis_research/article/3698/viewcontent/p537_xiongA.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 Indoor Wireless Location Time (Difference) of Arrival (ToA/TDoA) Channel Combination CSI Combination Bandwidth Increment MUSIC Spectrum Identification Time Synchronization Distributed MIMO Triangle Inequality Software Engineering |
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Indoor Wireless Location Time (Difference) of Arrival (ToA/TDoA) Channel Combination CSI Combination Bandwidth Increment MUSIC Spectrum Identification Time Synchronization Distributed MIMO Triangle Inequality Software Engineering |
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Indoor Wireless Location Time (Difference) of Arrival (ToA/TDoA) Channel Combination CSI Combination Bandwidth Increment MUSIC Spectrum Identification Time Synchronization Distributed MIMO Triangle Inequality Software Engineering XIONG, Jie SUNDARESAN, Karthikeyan JAMIESON, Kyle ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless |
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Indoor localization of mobile devices and tags has received much attention recently, with encouraging fine-grained localization results available with enough line-of-sight coverage and hardware infrastructure. Some of the most promising techniques analyze the time-of-arrival of incoming signals, but the limited bandwidth available to most wireless transmissions fundamentally constrains their resolution. Frequency-agile wireless networks utilize bandwidths of varying sizes and locations in a wireless band to effi- ciently share the wireless medium between users. ToneTrack is an indoor location system that achieves sub-meter accuracy with minimal hardware and antennas, by leveraging frequency-agile wireless networks to increase the effective bandwidth. Our novel signal combination algorithm combines time-of-arrival data from different transmissions as a mobile device hops across different channels, approaching time resolutions previously not possible with a single narrowband channel. ToneTrack’s novel channel combination and spectrum identification algorithms together with the triangle inequality scheme yield superior results even in non-line-ofsight scenarios with one to two walls separating client and APs and also in the case where the direct path from mobile client to an AP is completely blocked. We implement ToneTrack on the WARP hardware radio platform and use six of them served as APs to localize Wi-Fi clients in an indoor testbed over one floor of an office building. Experimental results show that ToneTrack can achieve a median 90 cm accuracy when 20 MHz bandwidth APs overhear three packets from adjacent channels |
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XIONG, Jie SUNDARESAN, Karthikeyan JAMIESON, Kyle |
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XIONG, Jie SUNDARESAN, Karthikeyan JAMIESON, Kyle |
author_sort |
XIONG, Jie |
title |
ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless |
title_short |
ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless |
title_full |
ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless |
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ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless |
title_full_unstemmed |
ToneTrack: Leveraging frequency-agile radios for time-based indoor wireless |
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tonetrack: leveraging frequency-agile radios for time-based indoor wireless |
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Institutional Knowledge at Singapore Management University |
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2015 |
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https://ink.library.smu.edu.sg/sis_research/2698 https://ink.library.smu.edu.sg/context/sis_research/article/3698/viewcontent/p537_xiongA.pdf |
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