Studying the Effect of Drilling Uncertainty on Signal Propagation Through Vias
A differential via structure with four varying factors are defined in this paper. The Monte Carlo (MC), stochastic collocation (SC) and design of experiments (DoE) methods are employed to quantify the drilling uncertainties in the abovementioned via structure. A comparison of the results shows that the SC method is more robust and can more efficiently and accurately estimate the mean and the standard deviation of the responses, compared to the DoE method.
Y. Wang et al., "Studying the Effect of Drilling Uncertainty on Signal Propagation Through Vias," 2015 IEEE Symposium on Electromagnetic Compatibility and Signal Integrity, EMCSI 2015, pp. 365-369, Institute of Electrical and Electronics Engineers (IEEE), Mar 2015.
The definitive version is available at http://dx.doi.org/10.1109/EMCSI.2015.7107716
2015 IEEE Symposium on Electromagnetic Compatibility and Signal Integrity (2015: Mar. 15-21, Santa Clara, CA)
Electrical and Computer Engineering
Center for High Performance Computing Research
Second Research Center/Lab
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
Design of experiments; Stochastic systems; Differential via; Doe methods; Latin hypercube; Polynomial chaos; Signal propagation; Standard deviation; Stochastic collocation; Through-vias; Monte Carlo methods
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.