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Statistical Analysis Approach to Improve the High Speed Signal Quality by Including the Manufacturing Process Variations of Printed Circuit Board

机译:通过包括印刷电路板的制造工艺变化来提高高速信号质量的统计分析方法

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In this paper, we propose a statistical analysis approach to consider the contributions across wide process variation permutations. The methodology is applied to a chip-to-connector high speed differential channel design for a multi-layer PCB. In addition, the contribution factor of each process variation parameter can be determined by the use of a sensitivity analysis. The DOE can be significantly reduced by over 50,000X using the Taguchi method reduction to 27. Finally, we acquire the sensitivity coefficient of each process variation parameters and probability distribution function of differential impedance, insertion loss, return loss and mode-conversion. And ±3σ impedance values were calculated and the statistical s-parameters are plotted. From these results, we can increase the confidence level of correlation between simulation and measurement because the proposed approach let us know the trend of variation of impedance and s-parameter by process variation.
机译:在本文中,我们提出了一种统计分析方法,以考虑宽阔的过程变异偏移的贡献。该方法应用于多层PCB的芯片到连接器高速差分通道设计。另外,可以通过使用灵敏度分析来确定每个过程变化参数的贡献因子。使用Taguchi方法减少到27,DOE可以显着降低超过50,000倍。最后,我们获得差分阻抗,插入损耗,返回损耗和模式转换的每个过程变化参数和概率分布函数的灵敏度系数。计算±3σ阻抗值并绘制统计S参数。从这些结果来看,我们可以提高模拟和测量之间的相关性的置信水平,因为所提出的方法让我们通过过程变化来了解阻抗和S参数的变化趋势。

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