Variance Weighted Vector Fitting for Noisy Frequency Responses

被引：14

作者：

Ferranti, Francesco ^{[1
]}

Rolain, Yves ^{[2
]}

Knockaert, Luc ^{[1
]}

Dhaene, Tom ^{[1
]}

机构：

[1] Univ Ghent, Dept Informat Technol INTEC, IBBT, B-9000 Ghent, Belgium

[2] Vrije Univ Brussels, Dept ELEC, B-1050 Brussels, Belgium

来源：

IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS | 2010年 / 20卷 / 04期

关键词：

Macromodeling; noise; rational approximation; vector fitting (VF); DOMAIN RESPONSES;

D O I：

10.1109/LMWC.2010.2042546

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：

This letter presents a modification of the Vector Fitting algorithm to estimate rational models of frequency responses affected by noise, e. g. in the case of measured data. It is based on the use of a least-squares weighting function that contains information about the variance of the data samples used in the macromodeling process. The modification is straightforward and does not increase the computational cost of Vector Fitting, but it significantly improves its convergence and accuracy properties in the presence of noise. The residuals test is used to assess the quality of the estimated model. Numerical results validate the proposed modification.

引用

页码：187 / 189

页数：3

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