• DocumentCode
    870151
  • Title

    A comparative study of two transient analysis algorithms for lossy transmission lines with frequency-dependent data

  • Author

    Elfadel, Ibrahim (Abe) M. ; Huang, Hao-Ming ; Ruehli, Albert E. ; Dounavis, Anestis ; Nakhla, Michel S.

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    25
  • Issue
    2
  • fYear
    2002
  • fDate
    5/1/2002 12:00:00 AM
  • Firstpage
    143
  • Lastpage
    153
  • Abstract
    Two general algorithms for the modeling or lossy transmission lines with frequency-dependent parameters are contrasted and compared. The first is based on the generalized method of characteristics while the second is based on a more recent Pade macromodeling approach. The different approximations made in these two algorithms are contrasted and computational evidence is presented to show that these two methods complement each other in their properties.
  • Keywords
    Laplace transforms; SPICE; circuit simulation; coupled transmission lines; eigenvalues and eigenfunctions; electric admittance; interconnections; lumped parameter networks; transient analysis; transient response; transmission line matrix methods; Pade macromodeling; SPICE-like simulators; admittances; circuit simulation; coupled case; delay extraction; delayed sources; distributed networks; eigenvalues; frequency-dependent parameters; generalized method of characteristics; high-frequency impulse response; high-speed interconnect; inverse Laplace transforms; lossy transmission lines; lumped attenuation circuit; macromodeling; matrix rational approximation; nonideal transmission line modeling; rational approximations; sectioning; single-line case; transient analysis algorithms; Circuits; Clocks; Conductors; Delay; Dielectric losses; Frequency; Propagation losses; Transient analysis; Transmission line matrix methods; Transmission lines;
  • fLanguage
    English
  • Journal_Title
    Advanced Packaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1521-3323
  • Type

    jour

  • DOI
    10.1109/TADVP.2002.803270
  • Filename
    1049624