An advanced tag detection technique for chipless RFID systems

Chamath Divarathne, Nemai Karmakar

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

2 Citations (Scopus)

Abstract

Chipless RFID systems have been identified as a major candidate to replace optical barcode systems in future. However, the main challenge is its less data encoding capacity. Researchers have attempted to overcome this by mainly improving the chipless tag design and the RFID reader architecture. However, they were using primitive tag detection techniques such as thresholds and moving averages. This paper presents a Maximum Likelihood (ML) based tag detection technique for chipless RFID systems. The detection technique does not require any channel knowledge and it jointly optimizes both the tag detection and the channel. The proposed technique is compatible with both frequency and time domain based chipless RFID readers. Chipless tags were designed in CST and the system model was simulated in MATLAB. The results show that the proposed tag detection technique allows to remove the guard-band used in multi-resonators permitting the tag data capacity to be doubled.

Original languageEnglish
Title of host publicationProceedings of the 45th European Microwave Conference (EuMC 2015)
Subtitle of host publication Paris, France; 7-10 September 2015
EditorsDenis Barataud
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages251-254
Number of pages4
ISBN (Electronic)9782874870392
DOIs
Publication statusPublished - 2 Dec 2015
EventEuropean Microwave Conference 2015 - Paris, France
Duration: 7 Sep 201510 Sep 2015
Conference number: 45th
https://ieeexplore.ieee.org/xpl/conhome/7331835/proceeding (Proceedings)

Conference

ConferenceEuropean Microwave Conference 2015
Abbreviated titleEuMC 2015
Country/TerritoryFrance
CityParis
Period7/09/1510/09/15
Internet address

Keywords

  • Chipless RFID
  • Maximum Likelihood
  • RF Signals
  • RFID Tags
  • Signal Detection

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