• DocumentCode
    1230684
  • Title

    Empirical global modelling of Si/SiGe heterojunction bipolar transistors

  • Author

    Taher, H.

  • Author_Institution
    Electron. Res. Inst., Giza
  • Volume
    2
  • Issue
    4
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    401
  • Lastpage
    408
  • Abstract
    A simple and straightforward extraction procedure for a global model of silicon/silicon-germanium (Si/SiGe) heterojunction bipolar transistors (HBTs) is presented. The model has been constructed using functions that describe the dependence of the most nonlinear extracted small-signal equivalent circuit model (SSECM) parameters on the terminal voltages. The other model parameters are assumed to be voltage independent. An artificial neural network fitting tool has been used to obtain these relations. The model has been implemented in a software package without any convergence problems and has been evaluated by direct current, small-signal and large-signal network analyser measurements. An excellent correspondence has been obtained between the measurements and the output of the simulations for the extracted model. Because of its high accuracy, the model is very efficient in radio frequency circuit design. To the author´s knowledge, this is the first time that a global model for a Si/SiGe HBT has been derived directly from .a SSECM.
  • Keywords
    electronic engineering computing; germanium; heterojunction bipolar transistors; neural nets; silicon; software packages; Si-SiGe; artificial neural network fitting tool; direct current measurement; heterojunction bipolar transistor; large-signal network analyser measurement; nonlinear extracted small-signal equivalent circuit model; radio frequency circuit design; small-signal network analyser measurement; software package;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas & Propagation, IET
  • Publisher
    iet
  • ISSN
    1751-8725
  • Type

    jour

  • DOI
    10.1049/iet-map:20070171
  • Filename
    4528987