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HarmonicID: An Identification System for Low-Power Analog Backscatter Tags
Uppsala University, Sweden.
Uppsala University, Sweden.
Microsoft, USA.
Uppsala University, Sweden.
Show others and affiliations
2022 (English)In: 2022 IEEE International Conference on RFID, RFID 2022, Institute of Electrical and Electronics Engineers Inc. , 2022Conference paper, Published paper (Refereed)
Abstract [en]

Backscatter tags consume extremely low power and are activated by an external carrier for sensing and communication purposes. Analog backscatter tags achieve further power and cost reductions by moving digitization and computation overhead to a remote receiver. Analog transmissions do not have a digital frame structure to convey control information such as addresses. Therefore, when multiple tags are deployed without such ID it is challenging to associate received data with specific tags. We present a novel fully analog tag identification mechanism that is inspired by musical instruments. Each instrument has a unique harmonic content and therefore the human ear can distinguish different musical instruments even when they are playing at the same frequency. By tuning the tags to reflect a unique harmonic content we enable identification of purely analog tags. Our results show that we can create identities for tags by leveraging signal conditioning to modify harmonics, without the need to add dedicated digital blocks for identification purposes. Experiments on our hardware demonstrate that we can successfully identify the tags even in challenging scenarios such as when they are blocked by walls or in motion. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022.
Keywords [en]
analog tag identification, backscatter, low-power communication, Backscattering, Harmonic analysis, Music, Musical instruments, Computation overheads, Costs reduction, Digitisation, Harmonics content, Low Power, Power reductions, Tag identification, Cost reduction
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-59861DOI: 10.1109/RFID54732.2022.9795971Scopus ID: 2-s2.0-85134181722ISBN: 9781665410465 (print)OAI: oai:DiVA.org:ri-59861DiVA, id: diva2:1685193
Conference
2022 IEEE International Conference on RFID, RFID 2022, 17 May 2022 through 19 May 2022
Note

Conference Paper; Funding details: Stiftelsen för Strategisk Forskning, SSF; Funding details: VINNOVA; Funding details: Vetenskapsrådet, VR, 2017-045989, 2018-05480; Funding text 1: ACKNOWLEDGEMENTS This work has been financially supported by the Swedish Research Council (Grant 2017-045989 and 2018-05480), the Swedish Foundation for Strategic Research and VINNOVA.

Available from: 2022-08-02 Created: 2022-08-02 Last updated: 2023-06-08Bibliographically approved

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Voigt, Thiemo

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