Statistical estimation of crosstalk for cable bundles

Abstract

Predicting electromagnetic interference problems for cable bundles early in the design stage is of significant value for both automotive and other industries. Effective methods are needed for predicting interference when little design information is known. The random variation in parameters like wire position in the bundle require that statistical variations be taken into account. In the first part of this thesis, a method to analytically predict the reasonable worst-case crosstalk within a cable bundle is proposed. The method uses the per-unit-length LC matrices associated with the cross-sectional geometry of the bundle to generate probability a distribution function for mutual inductance and capacitance between wires within the bundle...In the second part of this thesis, a fast simulation method to estimate the crosstalk in cable bundles is proposed. The method makes use of the T-parameter (Transfer parameter) matrix and can be implemented with a simple MATLAB script --Abstract, page iv

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