Maximum likelihood population estimator of RFID tags with Hadamard footprint

  • Authors:
  • Joontae Kim;Seung-Ri Jin;Seokkown Kim;Dong-Jo Park

  • Affiliations:
  • School of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea;School of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea;School of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea;School of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea

  • Venue:
  • ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
  • Year:
  • 2009

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Abstract

A novel method is proposed that can estimate the tag population in Radio Frequency Identification systems by using a Hadamard code for the sub-preamble of the tag response. We formulate the maximum likelihood estimator for the tag population using a given number of the observed footprints. In simulations, the proposed estimator performs considerably better than the conventional schemes.