从瞬态端口响应生成被动宏模型

S. Grivet-Talocia
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引用次数: 6

摘要

本文提出了一种基于输入输出端口特性的线性集总宏模型生成方法。一套完整的瞬态端口响应是由一个新的时域公式的著名的向量拟合算法处理。数据处理包括数字滤波和最小二乘拟合的结合。通过对相关的哈密顿矩阵应用迭代摄动技术,使所得到的宏观模型的无源性后发增强。
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Generation of passive macromodels from transient port responses
This paper presents a new technique for the generation of linear lumped macromodels from input-output port characterization. A complete set of transient port responses is processed by a new time-domain formulation of the well-known Vector Fitting algorithm. The data processing involves a combination of digital filtering and least squares fitting. Passivity of the obtained macromodel is enforced a posteriori by applying an iterative perturbation technique to the associated Hamiltonian matrix.
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