• DocumentCode
    1538600
  • Title

    A general class of passive macromodels for lossy multiconductor transmission lines

  • Author

    Dounavis, Anestis ; Achar, Ramachandra ; Nakhla, Michel

  • Author_Institution
    Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada
  • Volume
    49
  • Issue
    10
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    1686
  • Lastpage
    1696
  • Abstract
    This paper presents a general class of passive macromodeling algorithm for multiport distributed interconnects. A new theorem is described that specifies sufficient conditions for matrix-rational approximation of exponential functions in order to generate a passive macromodel. A proof is given showing that the currently existing passive matrix-rational approximation of exponential functions is a subclass of the generic approach presented in this paper. In addition, a technique to obtain a compact passive macromodel with predetermined coefficients, based on near-optimal approximation, is presented. The proposed model can be easily incorporated with recently developed passive model-reduction techniques
  • Keywords
    circuit simulation; distributed parameter networks; integrated circuit interconnections; integrated circuit modelling; multiconductor transmission lines; multiport networks; packaging; skin effect; IC interconnect analysis; circuit simulators; exponential functions; lossy multiconductor transmission lines; matrix-rational approximation; multiport distributed interconnects; near-optimal approximation; passive macromodels; predetermined coefficients; Circuit simulation; Distributed parameter circuits; Equations; Frequency; Integrated circuit interconnections; Multiconductor transmission lines; Propagation losses; Transmission line matrix methods; Transmission line theory; Transmission lines;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/22.954772
  • Filename
    954772