基于剩余矩阵特征值摄动的s参数模型快速无源增强

B. Gustavsen
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引用次数: 75

摘要

合理的宏观模型必须是被动的,以保证稳定的模拟。本文介绍了一种快速增强基于s参数的极点剩余模型无源性的方法,该方法采用了先前对y参数模型引入的类似方法。该方法基于用扰动后的残差矩阵特征值作为自由变量对残差矩阵的元素进行扰动。这大大节省了CPU时间和内存需求。该实现不需要稀疏计算。将被动执行步骤与迭代相结合,通过半尺寸的测试矩阵进行快速被动评估,给出了全局被动模型。误差控制策略通过最小二乘加权实现。该方法在一个双端口微波滤波器、一个四端口互连、一个48端口低阶封装模型和一个28端口高阶封装模型上进行了演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Passivity Enforcement for S-Parameter Models by Perturbation of Residue Matrix Eigenvalues
Rational macromodels must be passive in order to guarantee a stable simulation. This paper introduces a fast approach for enforcing passivity for S-parameter based pole-residue models, using a similar method previously introduced for Y-parameter models. The approach is based on perturbing the elements of the residue matrices with the perturbed residue matrix eigenvalues as free variables. This gives large savings for the CPU time and memory requirements. The implementation does not require sparse computations. Combining the passivity enforcement step with iterations and fast passivity assessment via a half-size test matrix gives a globally passive model. Error control strategies are implemented via least squares weighting. The approach is demonstrated for a two-port microwave filter, a four-port interconnect, a 48-port low-order package model, and a 28-port high-order package model.
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来源期刊
IEEE Transactions on Advanced Packaging
IEEE Transactions on Advanced Packaging 工程技术-材料科学:综合
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