Generation of passive macromodels for lossy multiconductor transmission lines

A. Chinea, S. Grivet-Talocia
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引用次数: 1

Abstract

This paper presents an algorithm for the enforcement of passivity in delay-based multiconductor transmission line macromodels based on the Generalized Method of Characteristics. The algorithm enforces passivity via an iterative procedure based on first-order perturbations. More precisely, the short-circuit admittance matrix of the macromodel is iteratively modified until it becomes positive real. This iterative perturbation is performed on the solutions of a nonlinear eigenvalue problem, whereas the passivity verification is performed using an adaptive frequency sampling process. The proposed technique results in passive, accurate, and efficient macromodels for arbitrary lossy multiconductor transmission lines, which can be synthesized in SPICE netlists for system-level analysis and design.
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损耗多导体传输线无源宏观模型的生成
本文提出了一种基于广义特性法的多导体传输线宏模型无源强制算法。该算法通过基于一阶扰动的迭代过程来实现无源性。更准确地说,是对宏观模型的短路导纳矩阵进行迭代修正,直到其变为正实数。这种迭代扰动是对非线性特征值问题的解进行的,而无源验证是使用自适应频率采样过程进行的。该技术可为任意损耗多导体传输线建立无源、精确和高效的宏观模型,并可在SPICE网络列表中合成,用于系统级分析和设计。
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