"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.
Beetner, Daryl G.
Hubing, Todd H.
Electrical and Computer Engineering
M.S. in Electrical Engineering
General Motors Corporation
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Statistical prediction of "reasonable worst-case" crosstalk in cable bundles
- Improving crosstalk simulation speeds for cable harness bundles using the T-parameter method
x, 40 pages
© 2008 Meilin Wu, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Electromagnetic interference -- Prevention
Telecommunication cables -- Design and construction
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Wu, Meilin, "Statistical estimation of crosstalk for cable bundles" (2008). Masters Theses. 4640.