Efficient Uncertainty Quantification of Stripline Pulse Response using Singular Value Decomposition and Delay Extraction

Andrew Page, Xu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper demonstrates the use of data post-processing methods with stochastic collocation, an efficient alternative to Monte Carlo sampling, for transient response parametrization in electronic design. This method is applied to find the statistics of the broadband voltage response of a 50Ω terminated stripline with uncertain width, length, and per-mittivity. Collocation results with post-processing are compared against that of Monte Carlo showing greater accuracy for a low computational budget.

Original languageEnglish (US)
Title of host publication2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4-6
Number of pages3
ISBN (Electronic)9781665416719
DOIs
StatePublished - 2022
Externally publishedYes
Event13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022 - Beijing, China
Duration: Sep 1 2022Sep 4 2022

Publication series

Name2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022

Conference

Conference13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022
Country/TerritoryChina
CityBeijing
Period9/1/229/4/22

Keywords

  • delay extraction
  • singular value decomposition
  • stochastic collocation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Radiation

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