Title :
Crosstalk statistics via collocation method
Author :
Diouf, Fatou ; Canavero, Flavio
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Torino, Italy
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;
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
DOI :
10.1109/ISEMC.2009.5284686