Jitter and Eye Estimation in SerDes Channels Using Modified Polynomial Chaos Surrogate Models

Majid Ahadidolatsara, Jose Alehejase, Wiren Dalebecker, Madhavan Swaminathan

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

3 Scopus citations

Abstract

Estimation of data-dependent jitter and the resulting eye diagram in modern SerDes channels using state-of-the-art conventional simulation techniques are either computationally expensive or have limits in their application. Therefore, this paper proposes an approach based on uncertainty quantification, where a surrogate model using the Polynomial Chaos (PC) theory is developed and used to predict jitter, eye height, and eye width including the statistical variation. The accuracy and efficiency of this approach is demonstrated using a high-speed SerDes channel topology and specialized SerDes simulation tool, which shows about 100X speedup in channel simulation costs for this example.

Original languageEnglish (US)
Title of host publicationEPEPS 2018 - IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-139
Number of pages3
ISBN (Electronic)9781538693032
DOIs
StatePublished - Nov 13 2018
Event27th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2018 - San Jose, United States
Duration: Oct 14 2018Oct 17 2018

Publication series

NameEPEPS 2018 - IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems

Conference

Conference27th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2018
Country/TerritoryUnited States
CitySan Jose
Period10/14/1810/17/18

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Electronic, Optical and Magnetic Materials

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