• DocumentCode
    1835076
  • Title

    Crosstalk statistics via collocation method

  • Author

    Diouf, Fatou ; Canavero, Flavio

  • Author_Institution
    Dipt. di Elettron., Politec. di Torino, Torino, Italy
  • fYear
    2009
  • fDate
    17-21 Aug. 2009
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    A probabilistic model for the evaluation of transmission lines crosstalk is proposed. The geometrical parameters are assumed to be unknown and the exact solution is decomposed into two functions, one depending solely on the random parameters and the other on the frequency. The stochastic collocation method is used to estimate the crosstalk statistical moments. The results are obtained from a limited number of carefully-chosen values of the random geometrical parameters. The estimated statistical moments are then used to build the probability density function of the crosstalk parameters. A Monte Carlo validation demonstrates the accuracy and efficiency of the advocated method.
  • Keywords
    Monte Carlo methods; crosstalk; geometry; probability; statistical analysis; Monte Carlo validation; crosstalk parameter; crosstalk statistical moment; crosstalk statistics; geometrical parameters; probabilistic model; probability density function; random geometrical parameter; random parameters; stochastic collocation method; transmission lines crosstalk; Analytical models; Cables; Circuits; Conductors; Crosstalk; Frequency estimation; Probability density function; Statistics; Voltage; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility, 2009. EMC 2009. IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-4266-9
  • Electronic_ISBN
    978-1-4244-4058-0
  • Type

    conf

  • DOI
    10.1109/ISEMC.2009.5284686
  • Filename
    5284686