Parametric macromodeling of high-speed modules from frequency-domain data using Loewner Matrix based method

Recently, Loewner Matrix (LM) based algorithms were introduced for generating time-domain macromodels based on frequency-domain data. These methods were shown to be very efficient and accurate for systems with large number of ports. Traditional LM method can handle only single variable frequency-dom...

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Bibliographic Details
Published in2013 IEEE MTT-S International Microwave Symposium Digest (MTT) pp. 1 - 4
Main Authors Kabir, Muhammad, Khazaka, Roni
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Frequency-domain analysis
Least square fitting
Loewner Matrix
Matrix decomposition
Microwave theory and techniques
Parametric macromodel
Polynomials
Scattering parameters
Vectors
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ISSN0149-645X
DOI10.1109/MWSYM.2013.6697352

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Summary:Recently, Loewner Matrix (LM) based algorithms were introduced for generating time-domain macromodels based on frequency-domain data. These methods were shown to be very efficient and accurate for systems with large number of ports. Traditional LM method can handle only single variable frequency-domain data i.e. the data depending on frequency only. Multivariate data (data depends on frequency and other parameters as well) needs to be handled for parametric macromodeling. In this paper, we showed the difficulty of obtaining the parametric macromodels using the standard LM method, and propose a LM based algorithm that is suitable for parameterization.
ISSN:0149-645X
DOI:10.1109/MWSYM.2013.6697352