• DocumentCode
    131694
  • Title

    Examples for Genetic Algorithm based optimal RFID tag antenna design

  • Author

    Pichler, Alexander ; Steffelbauer, David ; Nazarov, Anatoly

  • Author_Institution
    NXP Semicond., Gratkorn, Austria
  • fYear
    2014
  • fDate
    8-9 Sept. 2014
  • Firstpage
    223
  • Lastpage
    227
  • Abstract
    In this work a Genetic Algorithm is used to obtain optimal planar UHF RFID tag antenna topologies. The presented antenna design method is automated and solely requires very little human intervention. Different requirements like antenna dimension, conductive and dielectric materials, frequency range, etc. can be adjusted. This enables the automated design of tailored tag antennas for different requirements. Due to the complex behavior of UHF antennas numerical electromagnetic field simulation is essential. Simulation is carried out with the aid of ANSYS HFSS and ANSYS DESIGNER. In order to obtain meaningful results, high accuracy of the simulation is of vital importance. Therefore this work places emphasis on the comparison of simulation and measurement of prototypes. As a result of the evolutionary design, examples for narrowband and broadband antennas are presented. Two approaches were applied, one very fundamental, discretizing the available design space into pixel units. In addition a lattice based approach, promoting meander-like layouts, is implemented. Four antenna layouts are discussed in this work. All obtained tag antennas meet the required specifications and prove the abilities of the design approach.
  • Keywords
    UHF antennas; broadband antennas; genetic algorithms; planar antennas; radiofrequency identification; ANSYS DESIGNER; HFSS; antenna design method; broadband antennas; evolutionary design; genetic algorithm; lattice based approach; meander-like layouts; narrowband antennas; numerical electromagnetic field simulation; planar UHF RFID tag antenna topologies; prototypes; tailored tag antennas; Antenna measurements; Broadband antennas; Finite element analysis; Genetic algorithms; Optimization; Radiofrequency identification; Antenna design; RFID; UHF RFID; evolutionary design; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RFID Technology and Applications Conference (RFID-TA), 2014 IEEE
  • Conference_Location
    Tampere
  • Type

    conf

  • DOI
    10.1109/RFID-TA.2014.6934232
  • Filename
    6934232