Title

Stochastic Modeling of a High-Speed Signal Channel By Polynomial Chaos Method

Abstract

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.

Meeting Name

2014 IEEE International Symposium on Electromagnetic Compatibility (2014: Aug. 4-8, Raleigh, NC)

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Center for High Performance Computing Research

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)

10774076

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.


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