Macromodeling of Distributed Networks From Frequency-Domain Data Using the Loewner Matrix Approach

被引：43

作者：

Kabir, Muhammad ^{[1
]}

Khazaka, Roni ^{[1
]}

机构：

[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2A7, Canada

来源：

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2012年 / 60卷 / 12期

关键词：

Distributed networks; frequency-domain data; Hamiltonian matrix; Loewner matrices (LMs); matrix format tangential interpolation; S-parameters; time-domain macromodel; vector fitting; vector format tangential interpolation; Y-parameters; TRANSIENT SIMULATION; RATIONAL APPROXIMATION; MULTIPORT SYSTEMS; TIME; IMPLEMENTATION; ALGORITHM;

D O I：

10.1109/TMTT.2012.2222915

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recently, Loewner matrix (LM)-based methods were introduced for generating time-domain macromodels based on frequency-domain measured parameters. These methods were shown to be very efficient and accurate for lumped systems with a large number of ports; however, they were not suitable for distributed transmission-line networks. In this paper, an LM-based approach is proposed for modeling distributed networks. The new method was shown to be efficient and accurate for large-scale distributed networks.

引用

页码：3927 / 3938

页数：12

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