An Instrumental-Variable QR Decomposition Vector-Fitting Method for Modeling Multiport Networks Characterized by Noisy Frequency Data

被引:6
|
作者
Sahouli, Mohamed [1 ]
Dounavis, Anestis [1 ]
机构
[1] Univ Western Ontario, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
High-speed interconnect; instrumental variable; macromodeling; noise; rational approximations; vector fitting; SYSTEMS;
D O I
10.1109/LMWC.2016.2598141
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 an efficient method to macro-model large multiport systems characterized by noisy frequency domain data. The proposed method is based on the vector fitting algorithm and uses an instrumental variable approach and QR decomposition to formulate the least squares equations. The instrumental variable method minimizes the biasing effect of the least squares solution caused by the noise of the data samples while QR decomposition decouples the least squares equations of multiport systems described by common set of poles. It is illustrated, that the proposed approach can increase the accuracy of the pole-residue estimates with less iteration when compared to the traditional QR decomposition vector fitting method.
引用
收藏
页码:645 / 647
页数:3
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