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Data Dependent Jitter (DDJ) Characterization Methodology Kyung Ki Kim, Yong-Bin Kim, Fabrizio Lombardi
 

Summary: Data Dependent Jitter (DDJ) Characterization Methodology
Kyung Ki Kim, Yong-Bin Kim, Fabrizio Lombardi
Department of Electrical and Computer Engineering
Northeastern University, Boston, MA, USA
E-mail: kkkim@ece.neu.edu, ybk@ece.neu.edu, Lombardi@ece.neu.edu
Abstract
A new jitter model is developed using Matlab and Spice to analyze Data Dependent Jitter
(DDJ) in serial data integrated circuits. The simulation results show that DDJ is dependent
on the data pattern, data rate, and data slew as well as frequency bandwidth, impedance
mismatch, and loss of the data path of integrated circuits. This paper presents the effect of the
DDJ on other jitter subcomponents, which is essential to analysis and characterization of
DDJ.
1. Introduction
As the data rate of a VLSI system increases, serial links between chips and even on
chip become more significant in the system to require timing accuracy. Therefore,
timing jitter modeling is required to analyze the high-speed serial data path.
Timing jitter (henceforth shortened to jitter) is defined as the deviation of a signal
transition from its ideal position in time. The total jitter (TJ) is composed of the Random
Jitter (RJ) and Deterministic Jitter (DJ). The RJ results from device noise sources such as
flicker and thermal noise. This is theoretically unbounded in amplitude, and is

  

Source: Ayers, Joseph - Marine Science Center & Department of Biology, Northeastern University

 

Collections: Engineering