• DocumentCode
    3269680
  • Title

    New RFID´s chip matching technique using Artificial Neural Networks

  • Author

    Lacouth, Patric ; Perret, Etienne ; Fontgalland, Glauco ; Tedjini, Smail ; D´Assunção, Adaildo G.

  • Author_Institution
    Fed. Univ. of Campina Grande, Campina Grande, Brazil
  • fYear
    2010
  • fDate
    17-19 June 2010
  • Firstpage
    189
  • Lastpage
    193
  • Abstract
    This paper proposes a new technique to modify the original design of a known antenna according to the requirement of a new chip with an input impedance different from the first design This methodology is based on the idea of creating a database with antenna simulations and use Artificial Neural Networks (ANN) as a tool for selection of the appropriated configurations necessary for a better performance.
  • Keywords
    Antennas and propagation; Application specific integrated circuits; Artificial neural networks; Databases; Dipole antennas; Humans; Impedance; RFID tags; Radiofrequency identification; UHF antennas; Antenna Optimization; Artificial Neural Networks; RFID UHF Tag;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RFID-Technology and Applications (RFID-TA), 2010 IEEE International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    978-1-4244-6698-6
  • Type

    conf

  • DOI
    10.1109/RFID-TA.2010.5529934
  • Filename
    5529934
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3269680