We extend the recently proposed dynamic-bias measurement technique to the identification of non-quasi-static FET models. In particular, we propose to exploit two high-frequency tickles superimposed on the low-frequency large-signal excitation. The tickle frequencies are chosen in order to separately extract the quasi-static and non-quasi-static model parameters. As case study, we extracted and validated the model of an GaAs pHEMT.

Raffo, A., Avolio, G., Vadala', V., Schreurs, D., Vannini, G. (2015). A Non-Quasi-Static FET Model Extraction Procedure Using the Dynamic-Bias Technique. IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 25(12), 841-843 [10.1109/LMWC.2015.2496794].

A Non-Quasi-Static FET Model Extraction Procedure Using the Dynamic-Bias Technique

VADALA', Valeria;
2015

Abstract

We extend the recently proposed dynamic-bias measurement technique to the identification of non-quasi-static FET models. In particular, we propose to exploit two high-frequency tickles superimposed on the low-frequency large-signal excitation. The tickle frequencies are chosen in order to separately extract the quasi-static and non-quasi-static model parameters. As case study, we extracted and validated the model of an GaAs pHEMT.
Articolo in rivista - Articolo scientifico
Dynamic bias; FETs; nonlinear measurements; nonlinear models; non-quasi-static models; semiconductor device measurements; Electrical and Electronic Engineering
English
2015
25
12
841
843
7330035
reserved
Raffo, A., Avolio, G., Vadala', V., Schreurs, D., Vannini, G. (2015). A Non-Quasi-Static FET Model Extraction Procedure Using the Dynamic-Bias Technique. IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 25(12), 841-843 [10.1109/LMWC.2015.2496794].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/343344
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