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
Link To Document