"Accurate assessment of crosstalk problems in cable harnesses requires simulation methods that account for the statistical variation of harness parameters. Methods are proposed to determine the influence of the statistical variation in wire positions, the rate that wires change position (i.e. "twist"), harness height, harness density (i.e. how closely wires are packed) and circuit loads. Methods use a combination of simulation and probability theory. Simulations use the T-parameter method, a rapid simulation technique for harness bundles. Simulation time is further improved by using the mean and variance of crosstalk estimated for fixed harness parameter values to estimate the mean and variance when parameters vary with known probability. The methods can save computation time, since a small number of simulations are required for a relatively small number of fixed parameter values rather than a large number of simulations to predict variation in many parameters.
More importantly, the methods may give better insight into how individual parameters influence the variation of crosstalk than a pure simulation approach, since there is a clear mathematical link between input parameters and the resulting variation in crosstalk. For the cases tested here, results show the mean and variance of crosstalk below 1 GHz can be estimated within a root-mean-square error of 12% when wire position within the harness, wire twist, wire harness density, harness height above the return plane, and load terminations are simultaneously varied"--Abstract, page iii.
Beetner, Daryl G.
Drewniak, James L.
Electrical and Computer Engineering
M.S. in Electrical Engineering
Missouri University of Science and Technology
ix, 44 pages
© 2011 Xiang Li, All rights reserved.
Thesis - Open Access
Crosstalk -- Prevention
Electromagnetic interference -- Prevention
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Li, Xiang, "Rapid simulation of the statistical variation of crosstalk in cable harness bundles" (2011). Masters Theses. 5013.