Detection error rate analysis using coloured noise for the movement of chipless RFID tag

Meriam A. Bibile, Nemai A. Karmakar

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

4 Citations (Scopus)

Abstract

In this paper the detected signal of a chipless RFID tag in motion is analysed. The decoding of the tag frequency ID is performed by applying the adaptive wavelet based detection algorithm. The detection error rate is analysed in simulation in Matlab by applying coloured noise. These results are compared with the experimental results observed at different distances from the receiver antenna while moving the tag in vertical stepped movement. This helps to improve the sensitivity of the reader in development for the detection of chipless RFID tags in motion.

Original languageEnglish
Title of host publication2018 Australian Microwave Symposium (AMS) - Conference Proceedings
EditorsChristophe Fumeaux, Konstanty Bialkowski, Withawat Withayachumnankul
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-2
Number of pages2
ISBN (Electronic)9781538625682, 9781538625675
ISBN (Print)9781538625699
DOIs
Publication statusPublished - 2018
EventAustralian Microwave Symposium 2018 - Brisbane, Australia
Duration: 6 Feb 20187 Feb 2018
Conference number: 3RD
https://ieeexplore.ieee.org/xpl/conhome/8339103/proceeding (Proceedings)

Conference

ConferenceAustralian Microwave Symposium 2018
Abbreviated titleAMS 2018
Country/TerritoryAustralia
CityBrisbane
Period6/02/187/02/18
Internet address

Keywords

  • Adaptive wavelet based detection algorithm
  • Chipless RFID
  • Coloured noise

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