• DocumentCode
    2126782
  • Title

    Direct extraction of non-linear intrinsic transistor behaviour from large signal waveform measurement data

  • Author

    Demmler, M. ; Tasker, P.J. ; Schlechtweg, M. ; Huilsmann, A

  • Author_Institution
    Fraunhofer Institute for Applied Solid State Physics (IAF), Tullastr. 72, 79108 Freiburg, Germany. Phone: +49-761-5159-446, Fax: +49-761-5159-565, E-mail: mdi@iaf.fhg.de
  • Volume
    1
  • fYear
    1996
  • fDate
    6-13 Sept. 1996
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    Based on a vector corrected large signal RF waveform measurement system, analysis techniques have been developed that allow for the direct determination of the intrinsic dynamic 1-V and gate diode characteristics. A key feature of these analysis techniques is that the analysis is performed directly on measured waveform data without using any non-linear model in advance, as in previous works. Investigations have shown that the gate diode characteristic extracted under RF operation conditions is in close agreement with the corresponding DC measurement. In contrast to that, the determined dynamic output characteristic shows significant differences to the measured DC 1-V curves. To verify the capability of the extracted characteristics in the area of non-linear modelling they are directly used for the parameter extraction of the intrinsic current sources of an analytical large signal transistor model. A good agreement between the simulated and measured large signal behaviour of a 2×150 ¿m wide MODFET at different excitation frequencies up to 10 GHz was achieved.
  • Keywords
    Data mining; Diodes; Frequency measurement; Nonlinear dynamical systems; Parameter extraction; Performance analysis; Performance evaluation; RF signals; Radio frequency; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 1996. 26th European
  • Conference_Location
    Prague, Czech Republic
  • Type

    conf

  • DOI
    10.1109/EUMA.1996.337566
  • Filename
    4138621