• DocumentCode
    3161306
  • Title

    Enhanced Adaptive Frequency Sampling for RF and Microwave CAD

  • Author

    Kashi, Arash ; Devabhaktuni, Vijaya Kumar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que.
  • fYear
    2006
  • fDate
    10-15 Sept. 2006
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    In this paper, an enhanced adaptive frequency sampling algorithm for robust electromagnetic (EM) modeling and computer aided design (CAD) is proposed. The algorithm is based on rational interpolation, which leads to more accurate RF/microwave models as compared to other existing interpolants, e.g. spline. Starting with a minimal number of support points i.e. EM data and with lowest-order rational functions, the algorithm systematically produces a rational function model, which meets a user-specified accuracy. In each stage of the algorithm, additional poles and/or zeros are added, and new support points are adaptively selected based on a statistical criterion. The algorithm distinguishes critical regions of an EM component´s behavior that need to be densely sampled and uses relatively fewer data in other regions. The advantages of the proposed algorithm are shown via RF/microwave examples
  • Keywords
    circuit CAD; integrated circuit modelling; interpolation; microwave circuits; poles and zeros; sampling methods; RF models; adaptive frequency sampling algorithm; computer aided design; electromagnetic modeling; microwave CAD; microwave models; poles and zeros; rational function model; rational interpolation; Artificial neural networks; Circuit simulation; Design automation; Electromagnetic modeling; Iterative algorithms; Microwave circuits; Radio frequency; Robustness; Sampling methods; Scattering parameters; Circuit optimization; Design automation; Modeling; Rational approximation; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 2006. 36th European
  • Conference_Location
    Manchester
  • Print_ISBN
    2-9600551-6-0
  • Type

    conf

  • DOI
    10.1109/EUMC.2006.281394
  • Filename
    4057852