Title
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Single-input-single-output passive macromodeling via Positive Fractions Vector Fitting
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Author
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Abstract
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This paper introduces a constrained Vector Fitting algorithm which can directly identify a passive driving point function (impedance or admittance) from frequency domain data. The proposed Positive Fractions Vector Fitting (PFVF) algorithm formulates the residue identification step as a convex programming problem, while the pole identification step follows the unaltered standard Vector Fitting procedure. A further extension to multi-input-multi-output functions is possible and is under investigation. |
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Language
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English
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Source (book)
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Proceedings of the 12th IEEE Workshop on Signal Propagation on Interconnects, May 12-15, 2008, Avignon, France
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Publication
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New York, N.Y.
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IEEE
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2008
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ISBN
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978-1-4244-2317-0
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Volume/pages
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p. 183-184
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ISI
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000258904100045
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