• DocumentCode
    1233620
  • Title

    Macromodeling of Multiport Systems Using a Fast Implementation of the Vector Fitting Method

  • Author

    Deschrijver, Dirk ; Mrozowski, Michal ; Dhaene, Tom ; De Zutter, Daniel

  • Author_Institution
    Dept. of Inf. Technol., Ghent Univ.-IBBT, Ghent
  • Volume
    18
  • Issue
    6
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    383
  • Lastpage
    385
  • Abstract
    Broadband macromodeling of large multiport systems by vector fitting can be time consuming and resource demanding when all elements of the system matrix share a common set of poles. This letter presents a robust approach which removes the sparsity of the block-structured least-squares equations by a direct application of the QR decomposition. A 60-port printed circuit board example illustrates that considerable savings in terms of computation time and memory requirements are obtained.
  • Keywords
    poles and zeros; printed circuits; QR decomposition; block-structured least-squares equations; broadband macromodeling; direct application; memory requirements; multiport systems; printed circuit board; sparsity; system matrix; vector fitting; Broadband macromodeling; numerical techniques; system identification; vector fitting (VF);
  • fLanguage
    English
  • Journal_Title
    Microwave and Wireless Components Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1531-1309
  • Type

    jour

  • DOI
    10.1109/LMWC.2008.922585
  • Filename
    4530747