A wide variety of interconnections among electronic devices are performed by means of randomly twisted bundle of wires, particularly for transport and industrial applications. This work examines the crosstalk analysis of such bundles. A new model based on fractals for describing the position of wires winding throughout a bundle is presented. It allows the wires' meandering degree to be tuned simply by means of a parameter (the fractal dimension). It also allows for a statistical analysis of crosstalk because it can simulate independent different realizations of the same interconnection. An efficient multifactor prediction method known as “Kriging” is applied in order to describe the crosstalk as a function of the input factors (cable loads, cable height above the ground plane, etc.) of the cable model. It allows for a drastic reduction in the simulation time insofar as it predicts the crosstalk at untried combinations of the input factors from a small base of input combinations. In comparing the crosstalk simulated using the fractal model with the experimental measurements good agreement was found
Crosstalk prediction on wire bundles by Kriging approach / Salio, S.; Canavero, Flavio; Lecointe, D.; Tabbara, W.. - STAMPA. - 1:(2000), pp. 197-202. (Intervento presentato al convegno IEEE International Symposium on EMC tenutosi a Washington (USA) nel August 21-25) [10.1109/ISEMC.2000.875562].
Crosstalk prediction on wire bundles by Kriging approach
CANAVERO, Flavio;
2000
Abstract
A wide variety of interconnections among electronic devices are performed by means of randomly twisted bundle of wires, particularly for transport and industrial applications. This work examines the crosstalk analysis of such bundles. A new model based on fractals for describing the position of wires winding throughout a bundle is presented. It allows the wires' meandering degree to be tuned simply by means of a parameter (the fractal dimension). It also allows for a statistical analysis of crosstalk because it can simulate independent different realizations of the same interconnection. An efficient multifactor prediction method known as “Kriging” is applied in order to describe the crosstalk as a function of the input factors (cable loads, cable height above the ground plane, etc.) of the cable model. It allows for a drastic reduction in the simulation time insofar as it predicts the crosstalk at untried combinations of the input factors from a small base of input combinations. In comparing the crosstalk simulated using the fractal model with the experimental measurements good agreement was foundFile | Dimensione | Formato | |
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https://hdl.handle.net/11583/1409425
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