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New Methods to Characterize Deterministic Jitter and Crosstalk-Induced Jitter From Measurements

机译:通过测量来表征确定性抖动和串扰引起的抖动的新方法

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摘要

A small amount of jitter can quickly eat up timing budgets and create timing issues. Precise characterization of deterministic and crosstalk-induced jitter can help isolate and solve issues within high-speed links. Characterizing deterministic and crosstalk-induced jitter is challenging, however, because many types of jitter work together to create the overall jitter profile. Methods are presented in this paper to characterize the deterministic and crosstalk-induced jitter from measurements of total jitter. An improved tail-fit deconvolution method is proposed for characterizing the impact of deterministic jitter in the presence of random jitter. The contribution of random jitter to total jitter is found first, and then that contribution is accounted for to find deterministic jitter. A Wiener filter deconvolution method is also presented for extracting the characteristics of crosstalk-induced jitter from measurements of total jitter made when the crosstalk sources were and were not present. The Wiener filter allows for accurate deconvolution of the measured histograms for total jitter even in the presence of the measurement noise. The proposed techniques are shown to work well both in simulations and in measurements of a high-speed link.
机译:少量的抖动会迅速耗尽时序预算并造成时序问题。确定性和串扰引起的抖动的精确表征可以帮助隔离和解决高速链路中的问题。然而,表征确定性和串扰引起的抖动非常具有挑战性,因为许多类型的抖动共同作用以创建整体抖动曲线。本文提出了一些方法,以通过测量总抖动来确定确定性和串扰引起的抖动。提出了一种改进的尾部拟合反卷积方法,用于表征在存在随机抖动的情况下确定性抖动的影响。首先找到随机抖动对总抖动的贡献,然后考虑该贡献以找到确定性抖动。还提出了一种维纳滤波器反卷积方法,用于从存在和不存在串扰源时进行的总抖动测量中提取出由串扰引起的抖动的特征。 Wiener滤波器即使在存在测量噪声的情况下,也可以对所测量的直方图进行精确的反卷积,以实现总抖动。所提出的技术在高速链路的仿真和测量中均显示出良好的效果。

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