Schreurs, Dominique
(1999)
Overview of non-linear device modelling methods based on vectorial large-signal measurements.
In: Gallium Arsenide Applications Symposium. GAAS 1999, 4-5 October 1999, Bologna, Italy.
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Abstract
Classical large-signal device models are indirectly derived from small-signal S-parameter measurements. The recent availability of full two-port vectorial large-signal measurement systems has initiated the development of new techniques to enhance the ease and accuracy of non-linear transistor modelling. In this paper, we focus to two equivalent circuit based, or "grey" box, transistor modelling methods that are based on vectorial large-signal measurements. We show that the technique of parameter optimisation is interesting to generate fast and accurate nonlinear models for particular applications. The direct extraction method is preferable to determine general non-linear models, but its efficiency is strongly related to the available measurement hardware.
Abstract
Classical large-signal device models are indirectly derived from small-signal S-parameter measurements. The recent availability of full two-port vectorial large-signal measurement systems has initiated the development of new techniques to enhance the ease and accuracy of non-linear transistor modelling. In this paper, we focus to two equivalent circuit based, or "grey" box, transistor modelling methods that are based on vectorial large-signal measurements. We show that the technique of parameter optimisation is interesting to generate fast and accurate nonlinear models for particular applications. The direct extraction method is preferable to determine general non-linear models, but its efficiency is strongly related to the available measurement hardware.
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Documento relativo ad un convegno o altro evento
(Atto)
Autori
Settori scientifico-disciplinari
DOI
Data di deposito
15 Feb 2006
Ultima modifica
17 Feb 2016 14:29
URI
Altri metadati
Tipologia del documento
Documento relativo ad un convegno o altro evento
(Atto)
Autori
Settori scientifico-disciplinari
DOI
Data di deposito
15 Feb 2006
Ultima modifica
17 Feb 2016 14:29
URI
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