• DocumentCode
    3094331
  • Title

    Green´s function and network analysis of quasi-2D SAW ID-tags

  • Author

    Tan, E.L. ; Chia, Y.W.M.

  • Author_Institution
    Centre for Wireless Commun., Singapore
  • Volume
    1
  • fYear
    2000
  • fDate
    36800
  • Firstpage
    55
  • Abstract
    A rigorous analysis of surface acoustic wave tags for wireless identification (ID) systems is developed based on Green´s function technique and method of moments. The SAW ID-tags can be fabricated using arbitrary finite reflector structures placed in multiple tracks and channels. From the Green´s function solutions, the P matrix parameters for the reflector bits and coupling transducer are deduced. These P matrices are cascaded and interconnected using network analysis to account for the resulting quasi-2D structure. To provide more physical insights into the scattering mechanism, the cascaded network is described in terms of the more illuminating global reflection and transmission coefficients. Simulation of prototype SAW tag configuration is carried out. Response in time domain is presented to show the spurious signals due to multiple reflections
  • Keywords
    Green´s function methods; identification technology; method of moments; surface acoustic wave transducers; ultrasonic reflection; ultrasonic scattering; Green´s function; P matrix parameters; arbitrary finite reflector structures; coupling transducer; global reflection coefficients; global transmission coefficients; method of moments; multiple reflections; multiple tracks; network analysis; quasi-2D SAW ID-tags; quasi-2D structure; reflector bits; scattering mechanism; spurious signals; time domain; wireless identification; Acoustic reflection; Acoustic waves; Couplings; Electrodes; Green´s function methods; Moment methods; Surface acoustic wave devices; Surface acoustic waves; Transducers; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2000 IEEE
  • Conference_Location
    San Juan
  • ISSN
    1051-0117
  • Print_ISBN
    0-7803-6365-5
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2000.922506
  • Filename
    922506