Generalized Mixed-Mode S-Parameter Framework for Accurate Multipair Crosstalk Analysis in High-Speed Digital Channels

Manish K. Mathew;Xiao-Ding Cai;Chaofeng Li;Mehdi Mousavi;Reza Asadi;Junyong Park;Shameem Ahmed;Bidyut Sen;DongHyun Kim
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Abstract

The accuracy of mixed-mode S-parameter conversion is important for crosstalk mitigation in high-speed digital systems. However, the conventional mixed-mode S-parameter formulation assumes equal even-mode and odd-mode impedances$\ ( {\ {{{{Z}}}_{{{oo}}}} = {{{{Z}}}_{{{oe}}}}\ } )$, which limits its applicability, particularly in tightly coupled differential structures. In this article, we propose a novel mixed-mode S-parameter generalization (generalized M1/M2 approach) using an N-differential port network, which allows for multipair (i.e., pair-to-pair) crosstalk analysis on coupled differential systems, given by:$\ {{[ {{{{{S}}}_{{{mm}}}}} ]}_{{{i}} \times {{i}}}} = \ ({{[ {{{{{M}}}_1}} ]}_{{{i}} \times {{i}}}} \times {{[ {{{{{S}}}_{{s}}}} ]}_{{{i}} \times {{i}}}} + {{[ {{{{{M}}}_2}} ]}_{{{i}} \times {{i}}}}) \times {{( {{{{[ {{{{{M}}}_1}} ]}}_{{{i}} \times {{i}}}} + \ {{{[ {{{{{M}}}_2}} ]}}_{{{i}} \times {{i}}}} \times [ {{{{{S}}}_{{s}}}} ]} )}^{ - 1}}$. The proposed M1/M2 formulation eliminates the need for renormalization by integrating mode-dependent coupling factors ${{{{k}}}_{{{oo}}}}\ {and}\ {{{{k}}}_{{{oe}}}},$ ensuring a more physically meaningful representation of mixed-mode S-parameters, thereby improving the accuracy of both intrapair and interpair crosstalk analysis in high-speed digital systems. The effectiveness of the proposed M1/M2 approach is demonstrated through intrapair and interpair analysis on tightly coupled striplines, revealing peak-to-peak variations in differential return loss, interpair near-end crosstalk, and far-end crosstalk. Validation using a differential setup with commercial tools (Balun approach) confirmed the formulation's accuracy, with errors below 1%. In addition, measurement validation on a microstrip differential pair highlighted the model's scalability and precision, emphasizing the importance of incorporating mode-dependent impedance variations.
高速数字信道中精确多对串扰分析的广义混模s参数框架
在高速数字系统中,混合模s参数转换的精度对串扰抑制至关重要。然而,传统的混合模s参数公式假设相等的偶模和奇模阻抗$\ ({\ {{{{Z}}}_{{{oo}}}} = {{{{Z}}}_{{{oe}}}}\})$,这限制了它的适用性,特别是在紧密耦合的微分结构中。在本文中,我们提出了一种使用n -差分端口网络的新型混合模式s参数泛化(广义M1/M2方法),该方法允许对耦合差分系统进行多对(即对对)串扰分析。给出的 :$\ {{[ {{{{{ 年代}}}_{{{毫米 }}}}} ]}_{{{ 我}}\ *{{我 }}}} = \ ({{[ {{{{{ M}}} _1}}]} _{{{我}}\ *{{我}}}}\ * {{[ {{{{{ 年代}}}_{{年代 }}}} ]}_{{{ 我}}\ *{{我 }}}} + {{[ {{{{{ M}}} _2}}]} _{{{我}}\ *{{我}}}})\ * {{( {{{{[ {{{{{ M}}} _1 }} ]}}_{{{ 我}}\ *{{我 }}}} + \ {{{[ {{{{{ M}}} _2 }} ]}}_{{{ 我}}\乘以{{我}}}}\[{{{{{年代}}}_{{年代 }}}} ]} )}^{ - 1}} $。所提出的M1/M2公式通过集成模式相关耦合因子${{{{k}} _{{{oo}}}}\{和}\ {{{{k}}}_{{{oe}}}}消除了重整化的需要,确保了混合模式s参数更有物理意义的表示,从而提高了高速数字系统中对内串扰和对间串扰分析的准确性。通过对紧密耦合带状线的对内和对间分析,证明了所提出的M1/M2方法的有效性,揭示了差分回波损耗、对间近端串扰和远端串扰的峰间变化。使用商业工具(Balun方法)的差异设置验证确认了配方的准确性,误差低于1%。此外,对微带差分对的测量验证突出了模型的可扩展性和精度,强调了纳入模式相关阻抗变化的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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