基于时延提取的无源网络暂态仿真中的因果关系强化

Rohan Mandrekar, Madhavan SwaminathanZ
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引用次数: 46

摘要

因果性是分布式无源网络时域仿真中的一个重要问题,它处理的是信号通过互连等无源结构传播的精确定时问题。如果不加以考虑,它可能导致高速数字系统信号完整性分析中的重大误差。本文在端口到端口延迟提取的基础上,论证了分布式无源网络暂态仿真中因果关系的实施。本文描述了一种直接从无源网络的频域响应中提取端口到端口延迟的技术。该技术可应用于无源网络的S、Y、Z参数,并可扩展到多端口和混合模式网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causality enforcement in transient simulation of passive networks through delay extraction
Causality, which deals with the precise timing of signal propagation through passive structures like interconnects, is an important problem in the time domain simulation of distributed passive networks. If unaccounted for, it can lead to significant error in the signal integrity analysis of high-speed digital systems. This paper demonstrates the enforcement of causality on the transient simulation of distributed passive networks based on the extraction of the port-to-port delay. The paper describes a technique to extract the port-to-port delay in passive networks directly from their frequency domain response. The technique can be applied to either S, Y or Z parameters of passive networks and can be extended to multi-port and mixed mode networks.
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