Predicting data-dependent jitter
An analysis for calculating data-dependent jitter (DDJ) in a first-order system is introduced. The predicted DDJ features unique threshold crossing times with self-similar geometry. An approximation for DDJ in second-order systems is described in terms of the damping factor and natural frequency. Higher order responses demonstrate conditions under which unique threshold crossing times do not exist and total jitter is minimized. The DDJ predictions are verified with jitter measurements in a bandwidth-limited amplifier. The predictions for both first and second-order systems anticipate the features of the observed jitter.
© Copyright 2004 IEEE. Reprinted with permission Manuscript received January 12, 2004; revised March 10, 2004. [Posted online: 2004-09-20] This work was supported by the Lee Center for Advanced Networking. This paper was recommended by Associate Editor C.-W. Wu. The authors would like to thank members of the Caltech High-Speed Integrated Circuit (CHIC) group for their suggestions, and the reviewers for their comments and attention.