• DocumentCode
    664480
  • Title

    Microwave FET model identification based on vector intermodulation measurements

  • Author

    Bosi, Gianni ; Raffo, Antonio ; Avolio, Gustavo ; Vadala, Valeria ; Schreurs, Dominique M. M.-P ; Vannini, Giorgio

  • Author_Institution
    Dept. of Eng., Univ. of Ferrara, Ferrara, Italy
  • fYear
    2013
  • fDate
    2-7 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper an identification procedure for an FET analytical model oriented to μm- and mm-wave applications is presented. It is based on low-frequency large-signal measurements to determine with a high level of accuracy the nonlinear current source parameters. In addition, vector intermodulation measurements are used for the identification of the strictly nonlinear dynamic effects of the intrinsic device. As case study, the identification technique is applied to a 0.15-μm GaAs pHEMT. The extracted model is validated through comparison with nonlinear measurements carried out under conditions different from the ones used for model identification. A very good agreement with measurements has been achieved, despite the small number of data used to determine the model parameters.
  • Keywords
    III-V semiconductors; gallium arsenide; high electron mobility transistors; microwave field effect transistors; semiconductor device measurement; semiconductor device models; low-frequency large-signal measurements; microwave FET model identification; nonlinear current source parameters; nonlinear dynamic effects; nonlinear measurements; pHEMT; size 0.15 mum; vector intermodulation measurements; Current measurement; Integrated circuit modeling; Microwave FETs; Optimization; Solid modeling; Voltage measurement; Intermodulation; large-signal measurements; numerical optimization; transistor nonlinear models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Symposium Digest (IMS), 2013 IEEE MTT-S International
  • Conference_Location
    Seattle, WA
  • ISSN
    0149-645X
  • Print_ISBN
    978-1-4673-6177-4
  • Type

    conf

  • DOI
    10.1109/MWSYM.2013.6697489
  • Filename
    6697489