Detection performance of spread spectrum signatures for passive, chipless RFID

Ryan Measel, Christopher S. Lester, Yifei Xu, Richard Primerano, Moshe Kam

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

8 Scopus citations

Abstract

Time-Domain Reflectometry (TDR) RFID tags are passive, chipless tags that use discontinuities along a transmission line to create reflections. The discontinuities may be designed to produce a bipodal signal encoded with the unique identifier of the tag. When multiple tags are co-located and interrogated simultaneously, multiple access interference degrades the ability of the reader to detect the tags accurately. Reader detection can be improved by using spread spectrum signatures as the unique identifiers to limit interference. This work evaluates the ability of Gold codes and Kasami-Large codes to improve detection performance of a passive, chipless TDR RFID system. Simulations were conducted for varying numbers of simultaneously interrogated tags using synthetic tag responses constructed from the measured waveform of a prototype TDR tag. Results indicate that the Gold Code signature set outperforms the Kasami-Large Code signature set and a random, naïve set for simultaneous interrogation of less than 15 tags. For larger numbers of simultaneous tags, a random set performs nearly as well as the Kasami-Large Code set and provides more useful signatures.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on RFID, IEEE RFID 2014
PublisherIEEE Computer Society
Pages55-59
Number of pages5
ISBN (Print)9781479935871
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 IEEE International Conference on RFID, IEEE RFID 2014 - Orlando, FL, United States
Duration: Apr 8 2014Apr 10 2014

Publication series

Name2014 IEEE International Conference on RFID, IEEE RFID 2014

Other

Other2014 IEEE International Conference on RFID, IEEE RFID 2014
Country/TerritoryUnited States
CityOrlando, FL
Period4/8/144/10/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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