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Optimized Channel Phase Estimation in Passive RF Tag Network

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present a method for passive wireless channel estimation in RF tag-to-tag link. The technique has a low computational complexity, a small memory footprint and requires only one additional port in the modulator design of RF tag. The performance of the proposed method is evaluated on distance estimation task. The performance in the range of tag-to-tag distance from 28 cm to 228 cm is limited to 10° (9 mm). The demonstrated performance is comparable to performance of distance estimation techniques based on RFID technology which utilize RFID reader and are not scalable as the proposed method. The proposed method is amenable to deployment in near zero power operation RF-powered tags and it enriches RF tags with the ability to passively 'fingerprint' their surrounding.

Original languageEnglish
Title of host publication2024 IEEE International Conference on RFID, RFID 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-46
Number of pages6
ISBN (Electronic)9798350373592
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on RFID, RFID 2024 - Cambridge, United States
Duration: Jun 4 2024Jun 6 2024

Publication series

Name2024 IEEE International Conference on RFID, RFID 2024

Conference

Conference2024 IEEE International Conference on RFID, RFID 2024
Country/TerritoryUnited States
CityCambridge
Period06/4/2406/6/24

Keywords

  • Backscatter
  • channel estimation
  • localization
  • low-power communication
  • phase estimation
  • RFID

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