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Harmonia: Wideband Spreading for Accurate Indoor RF Localization

Authors:

Benjamin Kempke,

Prabal DuttaAuthors Info & Claims

ACM SIGMOBILE Mobile Computing and Communications Review, Volume 18, Issue 3

Pages 19 - 25

https://doi.org/10.1145/2721896.2721901

Published: 13 January 2015 Publication History

Abstract

We introduce Harmonia, a new RF-based localization scheme that provides the simplicity, cost, and power advantages of traditional narrowband radios with the decimeter-scale accuracy of ultra wideband localization techniques. Harmonia is an asymmetric tag and anchor system, requiring minimal modifications to existing low-power wireless devices to support highfidelity localization with comparatively modest infrastructure costs. A prototype Harmonia design offers location estimates with an average-case error of 53.4 cm in complex, heavymultipath, indoor environments and captures location estimates at 56 Hz while requiring only 1.7 mA additional power draw for each tag and complying with all US UWB regulations. We believe this architecture's combination of accuracy, update rate, power draw, and system complexity will lead to a new point in the design space.

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Cited By

Bansal AGadre ASingh VRowe AIannucci BKumar S(2021)OwLLProceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)10.1145/3412382.3458263(148-162)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3412382.3458263
Lymberopoulos DLiu J(2017)The Microsoft Indoor Localization Competition: Experiences and Lessons LearnedIEEE Signal Processing Magazine10.1109/MSP.2017.271381734:5(125-140)Online publication date: Sep-2017
https://doi.org/10.1109/MSP.2017.2713817

Harmonia: Wideband Spreading for Accurate Indoor RF Localization

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Information & Contributors

Information

Published In

cover image ACM SIGMOBILE Mobile Computing and Communications Review

ACM SIGMOBILE Mobile Computing and Communications Review Volume 18, Issue 3

July 2014

89 pages

ISSN:1559-1662

EISSN:1931-1222

DOI:10.1145/2721896

Editor:
Eyal de Lara
University of Toronto

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Copyright © 2015 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 January 2015

Published in SIGMOBILE Volume 18, Issue 3

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Cited By

Bansal AGadre ASingh VRowe AIannucci BKumar S(2021)OwLLProceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)10.1145/3412382.3458263(148-162)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3412382.3458263
Lymberopoulos DLiu J(2017)The Microsoft Indoor Localization Competition: Experiences and Lessons LearnedIEEE Signal Processing Magazine10.1109/MSP.2017.271381734:5(125-140)Online publication date: Sep-2017
https://doi.org/10.1109/MSP.2017.2713817

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