• DocumentCode
    1277099
  • Title

    An aggressive approach to parameter extraction

  • Author

    Bakr, Mohamed H. ; Bandler, John W. ; Georgieva, Natalia

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    47
  • Issue
    12
  • fYear
    1999
  • fDate
    12/1/1999 12:00:00 AM
  • Firstpage
    2428
  • Lastpage
    2439
  • Abstract
    A novel aggressive parameter-extraction (APE) algorithm is presented. Our APE algorithm addresses the optimal selection of parameter perturbations used to increase trust in parameter-extraction uniqueness. The uniqueness of the parameter-extraction problem is crucial especially in the space-mapping approach to circuit design. We establish an appropriate criterion for the generation of these perturbations. The APE algorithm classifies possible solutions for the parameter extraction problem. Two different approaches for obtaining subsequent perturbations are utilized based on a classification of the extracted parameters. The examples include the parameter extraction of a decomposed electromagnetic model of a high-temperature superconducting filter. The parameter extraction of an empirical model of a double-folded stub filter is also carried out
  • Keywords
    high-temperature superconductors; microstrip filters; parameter estimation; superconducting filters; superconducting microwave devices; aggressive parameter-extraction algorithm; decomposed electromagnetic model; double-folded stub filter; high-temperature superconducting filter; parameter perturbations; parameter-extraction uniqueness; space-mapping approach; Central Processing Unit; Computational modeling; Computer simulation; Electromagnetic measurements; Electromagnetic waveguides; Laboratories; Parameter extraction; Samarium; Space technology; Superconducting filters;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/22.808990
  • Filename
    808990