• DocumentCode
    2267274
  • Title

    Efficient modeling and simulation of coupled transmission lines

  • Author

    Chang, Edward C. ; Kang, Sung-Mo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • fYear
    1995
  • fDate
    31 Jan-2 Feb 1995
  • Firstpage
    152
  • Lastpage
    157
  • Abstract
    We present a computationally efficient method to simulate transmission lines. Based on the generalized method of characteristics, transmission lines are modeled with characteristic impedances and waveform generators. Thus the first major task involves network synthesis. The second is efficient computation of the synthesized waveform generators which requires computationally expensive convolution integral evaluation during transient simulation of transmission lines. As solutions of the above tasks, we present iterative linear least square fitting (ILLSF) for the first task and PRC for the second. The superior performance of ILLSF and the efficiency of PRC will be demonstrated for the transient simulation of coupled transmission lines
  • Keywords
    circuit analysis computing; convolution; integrated circuit interconnections; iterative methods; least squares approximations; network synthesis; transient analysis; transmission lines; waveform generators; PRC; characteristic impedances; convolution integral evaluation; iterative linear least square fitting; lossy coupled transmission lines; network synthesis; piecewise recursive convolution; synthesized waveform generators; transient simulation; Computational modeling; Convolution; Couplings; Impedance; Least squares methods; Network synthesis; Partial response channels; Power system transients; Signal generators; Transmission lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi-Chip Module Conference, 1995. MCMC-95, Proceedings., 1995 IEEE
  • Conference_Location
    Santa Cruz, CA
  • Print_ISBN
    0-8186-6970-5
  • Type

    conf

  • DOI
    10.1109/MCMC.1995.512019
  • Filename
    512019