• DocumentCode
    1075758
  • Title

    Intelligent recognition of RFID tag position

  • Author

    Jo, M. ; Youn, H.Y.

  • Author_Institution
    SungKyunKwan Univ., Suwon
  • Volume
    44
  • Issue
    4
  • fYear
    2008
  • Firstpage
    308
  • Lastpage
    309
  • Abstract
    The antenna height, read field length, and tag direction are very important factors in tag position recognition. Currently, the best tag position on the target objects is found by experimenting all possible cases with a trial-and-error method. Introduced is a method for identifying the best RFID tag position by employing an intelligent tag strength prediction approach using the backpropagation learning algorithm of neural networks. Experiments reveal that the proposed approach gives high prediction accuracy of mostly about 90%.
  • Keywords
    electrical engineering computing; neural nets; radiofrequency identification; RFID tag position; antenna height; backpropagation learning algorithm; intelligent recognition; intelligent tag strength prediction; neural networks; read field length; tag direction; tag position recognition; trial-and-error method;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20082543
  • Filename
    4455426