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A convex programming approach for generating guaranteed passive approximations to tabulated frequency-data

机译:一种凸编程方法,用于生成对列表频率数据的保证无源近似

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摘要

In this paper, we present a methodology for generating guaranteed passive time-domain models of subsystems described by tabulated frequency-domain data obtained through measurement or through physical simulation. Such descriptions are commonly used to represent on- and off-chip interconnect effects, package parasitics, and passive devices common in high-frequency integrated circuit applications. The approach, which incorporates passivity constraints via convex optimization algorithms, is guaranteed to produce a passive-system model that is optimal in the sense of having minimum error in the frequency band of interest over all models with a prescribed set of system poles. We demonstrate that this algorithm is computationally practical for generating accurate high-order models of data sets representing realistic, complicated multiinput, multioutput systems.
机译:在本文中,我们提出了一种用于生成子系统的保证被动时域模型的方法,该子系统通过通过测量或物理模拟获得的列表频域数据来描述。此类描述通常用于表示片上和片外互连效应,封装寄生效应以及高频集成电路应用中常见的无源器件。该方法通过凸优化算法结合了无源性约束,可以确保生成一个无源系统模型,该模型在所有具有指定系统极点的模型上,在感兴趣的频带上具有最小的误差的意义上是最优的。我们证明了该算法对于生成代表现实的,复杂的多输入,多输出系统的数据集的精确高阶模型在计算上是实用的。

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