A New Tail-Fit Method Design for Jitter Decomposition

Abstract

Although decreasing IC feature size and increasing I/O speed enable better system capability and performance, they also introduce technological challenges. One of the most important challenges is as I/O speed increases: jitter should decrease accordingly to ensure a reasonable bit error rate (BER) for a link system. Precise jitter characterization of signals at critical internal nodes provides valuable information for hardware fault diagnosis and next generation design. Understanding the separate contributions to jitter is challenging in this high speed industrial world. In this paper, Bounded Uncorrelated Jitter (BUJ), Random Jitter (RJ) and Periodic Jitter (PJ) are examined. A method is proposed to find BUJ in the presence of RJ, by first estimating RJ and then finding BUJ through de-convolution. A new tail-fit method is proposed to estimate the probability distribution for RJ. This new tail fit method is applicable for the general signal histogram, while the traditional tail fit method is only valid for the specific or ideal signal histogram.

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)

Electromagnetic Compatibility (EMC) Laboratory

Keywords and Phrases

Bounded Uncorrelated Jitter; De-Convolution; Jitter Decomposition

International Standard Book Number (ISBN)

978-1-4799-5544-2

International Standard Serial Number (ISSN)

2158-110X

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.

Publication Date

01 Sep 2014

Link to Full Text

Share

 
COinS