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Precise indoor localization using PHY information

Published: 28 June 2011 Publication History

Abstract

This poster shows the viability of precise indoor localization using physical layer information in WiFi systems. We find that channel frequency responses across multiple OFDM subcarriers can be suitably aggregated into a location signature. While these signatures vary over time and environmental mobility, we notice that their core structure preserves certain properties that are amenable to localization. We demonstrate these ideas through a functional system, implemented on off-the-shelf Intel 5300 cards (that are designed to export per-subcarrier information to the driver). We evaluate the system in a busy engineering building, a cafeteria, and the university museum, and demonstrate localization accuracies in the granularity of 1m x 1m boxes, called spots. Results show that our system, PinLoc, is able to localize users to a spot with 90% mean accuracy, while incurring less than 6% false positives. We believe this is an important step forward, compared to the best indoor localization schemes of today.

Reference

[1]
M. Youssef and A. Agrawala. The horus WLAN location determination system. In MobiSys, 2005.

Cited By

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  • (2019)MonoDCellProceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3347146.3359065(109-118)Online publication date: 5-Nov-2019
  • (2019)WiCLoc: A Novel CSI-based Fingerprint Localization SystemInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S0218001420580033(2058003)Online publication date: 4-Jun-2019
  • (2018)Accurate Indoor Localization Based on CSI and Visibility GraphSensors10.3390/s1808254918:8(2549)Online publication date: 3-Aug-2018
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    Published In

    cover image ACM Conferences
    MobiSys '11: Proceedings of the 9th international conference on Mobile systems, applications, and services
    June 2011
    430 pages
    ISBN:9781450306430
    DOI:10.1145/1999995

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 June 2011

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    1. localization

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    View all
    • (2019)MonoDCellProceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3347146.3359065(109-118)Online publication date: 5-Nov-2019
    • (2019)WiCLoc: A Novel CSI-based Fingerprint Localization SystemInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S0218001420580033(2058003)Online publication date: 4-Jun-2019
    • (2018)Accurate Indoor Localization Based on CSI and Visibility GraphSensors10.3390/s1808254918:8(2549)Online publication date: 3-Aug-2018
    • (2018)Passive Indoor Localization Based on CSI and Naive Bayes ClassificationIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2017.267972548:9(1566-1577)Online publication date: Sep-2018
    • (2018)A Method of Improving the Tracking Method of CSI PersonnelData Science10.1007/978-981-13-2206-8_26(312-329)Online publication date: 9-Sep-2018
    • (2016)Insightful Causes and Potential Resolutions for Spectrum Crisis in ISM Bands: A SurveyJournal of Communications10.12720/jcm.11.9.862-870Online publication date: 2016
    • (2016)Leveraging Electromagnetic Polarization in a Two-Antenna Whiteboard in the AirProceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies10.1145/2999572.2999601(443-456)Online publication date: 6-Dec-2016
    • (2015)Bringing CUPID Indoor Positioning System to PracticeProceedings of the 24th International Conference on World Wide Web10.1145/2736277.2741686(938-948)Online publication date: 18-May-2015
    • (2014)SIBProceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia10.1145/2677972.2678000(208-211)Online publication date: 25-Nov-2014
    • (2014)Feasibility and limits of wi-fi imagingProceedings of the 12th ACM Conference on Embedded Network Sensor Systems10.1145/2668332.2668344(266-279)Online publication date: 3-Nov-2014
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