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Channel Estimation for Analog Backscatter Tags
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Networked Embedded Systems.ORCID iD: 0000-0002-0075-0325
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Networked Embedded Systems.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computer Systems.ORCID iD: 0000-0002-1527-734X
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Networked Embedded Systems.ORCID iD: 0000-0002-2586-8573
2024 (English)In: RFCom '24: Proceedings of the First International Workshop on Radio Frequency (RF) Computing, Association for Computing Machinery (ACM), 2024, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

Analog backscatter communication is a promising technology for low-power and low-cost communication. The simplicity of the analog backscatter tags make it possible to achieve low-power operation. However, they are limited to perform only simple operations and do not have the capability to perform complex tasks such as estimating the channel parameters. In this work, we propose a novel method to measure the received signal strength at the analog backscatter tag. We achieve this by converting the incident signal strength at the tag, to a frequency to eliminate signal amplitude modifications in the path from the tag to the backscatter receiver. We further enhance the granularity of the signal strength measurement using harmonics that are inherently generated by the backscatter signal. Through experiments, we show that frequency modulation combined with the harmonic spread is a good and a robust indicator of the gain of the carrier-to-tag channel. Our experimental results show a mean error of 1.8% in estimating the received signal power at the tag using backscatter harmonic frequency data.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2024. p. 1-7
Keywords [en]
Analog backscatter, Channel estimation, Harmonics, RF sensing, Wireless sensor networks
National Category
Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-545677DOI: 10.1145/3698386.3699989ISI: 001351427600001ISBN: 979-8-4007-1298-2 (print)OAI: oai:DiVA.org:uu-545677DiVA, id: diva2:1923084
Conference
1st ACM International Workshop on Radio Frequency (RF) Computing (RFCom), November 4, 2024, Hangzhou, China
Part of project
Batterifria IoT nätverk, Swedish Research Council
Funder
Swedish Research Council, 2018-05480Swedish Research Council, 2021-04968Swedish Foundation for Strategic ResearchAvailable from: 2024-12-20 Created: 2024-12-20 Last updated: 2024-12-20Bibliographically approved

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fulltext(4676 kB)47 downloads
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Padmal, MadhushankaPiumwardane, DilushiRohner, ChristianVoigt, Thiemo

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