Efficient and accurate eye diagram prediction for high speed signaling

  • Authors:
  • Rui Shi;Wenjian Yu;Yi Zhu;Chung-Kuan Cheng;Ernest S. Kuh

  • Affiliations:
  • UC San Diego, La Jolla, CA;Tsinghua University, Beijing, P.R. China;UC San Diego, La Jolla, CA;UC San Diego, La Jolla, CA;UC Berkeley, Berkeley, CA

  • Venue:
  • Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
  • Year:
  • 2008

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Abstract

This paper introduces an accumulative prediction method to predict the eye diagram for high speed signaling systems. We use the step responses of pull-up and pull-down to extract the worst-case eye diagram, including the eye height and jitter. Furthermore, the method produces the input patterns of the worst-case intersymbol interference. The algorithm handles signals of either symmetric or asymmetric rise/fall time. Experimental results demonstrate the accuracy and efficiency of the proposed method.