• DocumentCode
    810413
  • Title

    Integrated model parameter extraction using large-scale optimization concepts

  • Author

    Bandler, John W. ; Chen, Shao Hua ; Ye, Shen ; Zhang, Qi-Jun

  • Author_Institution
    Optimization Syst. Assoc. Inc., Dundas, Ont., Canada
  • Volume
    36
  • Issue
    12
  • fYear
    1988
  • Firstpage
    1629
  • Lastpage
    1638
  • Abstract
    A robust approach to modelling parameter extraction in microwave circuit design is presented. The approach not only attempts to match DC and AC measurements under different bias conditions simultaneously, but also employs the DC characteristics of the device as constraints on Bias-dependent parameters, this improving the uniqueness and reliability of the solution. The approach is an expansion of the hierarchical modeling techniques recently proposed J.W. Bandler and S.H. Chen (1988). Based on J.W. Bandler and Q.J. Zhang´s (1987) automatic decomposition concepts for large-scale optimization, a sequential model building method is proposed which can be combined with powerful l/sub 1/ optimization techniques to establish a model with simple topology and sufficient accuracy. Practical FET models are used to illustrate the formulation. A detailed numerical example is presented to show the effectiveness of the approach.<>
  • Keywords
    equivalent circuits; microwave circuits; modelling; network synthesis; optimisation; semiconductor device models; Bias-dependent parameters; DC characteristics; FET models; automatic decomposition; hierarchical modeling techniques; large-scale optimization; microwave circuit design; model parameter extraction; sequential model building method; Circuit synthesis; FETs; Integrated circuit measurements; Large scale integration; Large-scale systems; Microwave devices; Optimization methods; Parameter extraction; Robustness; Topology;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/22.17394
  • Filename
    17394