Enforcing bounded realness of S parameter through trace parameterization

Huabo Chen, J. Fang
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引用次数: 32

Abstract

A new method of enforcing the bounded realness of S parameter macro-model is proposed in this paper. With a given stable rational function obtained from fitting the original data, its closest bounded real rational function is solved through semidefinite programming. This optimization problem is formulated through trace parameterization and uses minimal number of variables.
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通过跟踪参数化强化S参数的有界实时性
提出了一种增强S参数宏观模型有界实时性的新方法。通过拟合原始数据得到给定的稳定有理函数,通过半定规划求解其最近的有界实有理函数。该优化问题是通过跟踪参数化来表述的,并且使用了最少数量的变量。
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