Stochastic Modeling of a High-Speed Signal Channel by Polynomial Chaos Method
A stochastic model for a simplified high-speed channel is proposed, which considers six key sources of variations. Based on the model, the polynomial chaos (PC) method is applied to quantify the uncertainties. The effectiveness of the PC method is validated by the Monte Carlo (MC) method. Through the variation analysis, the most significant factor affecting a certain output can be identified, which is useful for the optimization of the channel. Additionally, the model can statistically predict the mean and the standard deviation of the outputs when all the variations take effects.
Y. Wang et al., "Stochastic Modeling of a High-Speed Signal Channel by Polynomial Chaos Method," Proceedings of the IEEE International Symposium on Electromagnetic Compatibility (2014, Raleigh, NC), pp. 686 - 690, Institute of Electrical and Electronics Engineers (IEEE), Aug 2014.
The definitive version is available at https://doi.org/10.1109/ISEMC.2014.6899056
2014 IEEE International Symposium on Electromagnetic Compatibility (2014: Aug. 4-8, Raleigh, NC)
Electrical and Computer Engineering
Center for High Performance Computing Research
Second Research Center/Lab
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
Electromagnetic compatibility; Monte Carlo methods; Stochastic systems; High-speed channels; High-speed signals; P-C methods; Polynomial chaos; Sources of variation; Standard deviation; Variation analysis; Stochastic models
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
08 Aug 2014