眼图分析建模用于地面反弹情况下的抖动估计

Anuj Kumar;Jai Narayan Tripathi
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摘要

本文提出了一种用于眼图估计抖动的分析模型。这一贡献体现在一个专门的分析模型的发展,以准确地估计由互补金属氧化物半导体逆变电路中的地面反射噪声引起的抖动。这项工作在高速大规模集成电路设计领域具有重要意义,因为它为使用眼图估计抖动和评估信号质量提供了重要的理论贡献。利用投入产出关系推导上升过渡边。在此推导的基础上,已经开发了分析方程来预测考虑逆变器中下降斜坡输入的输出转换的抖动。对上升过渡边和下降过渡边进行积分,得到眼图模型。稳健的分析框架产生一致的结果,与模拟预测和使用HEX逆变器ic的物理测量密切一致,为提出的建模提供验证。综合研究肯定了分析、模拟和实验结果比较的显著准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical Modeling of Eye Diagram for Jitter Estimation in Presence of Ground Bounce
This work presents an analytical model for an eye diagram to estimate jitter. The contribution is embodied in the development of a specialised analytical model to accurately estimate jitter caused by ground-bounce noise in complementary metal-oxide-semiconductor inverter circuits. This work is highly relevant in the area of high-speed very large-scale integrated circuit design as it provides significant theoretical contributions for the estimation of jitter and assessment of signal quality using eye diagrams. The input–output relationship has been utilized to derive rising transition edges. Building upon this derivation, analytical equations have been developed to predict jitter for output transitions considering falling ramp inputs in the inverter. The eye diagram model is illustrated after integrating the rising transition edges concurrent with the falling transition edges. The robust analytical framework yields consistent results, aligning closely with simulated predictions and the physical measurements using HEX inverter ICs provide validation to the proposed modeling. The comprehensive study affirms notable accuracy in the comparison of analytical, simulated, and experimental findings.
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