ANN Model For SiGe HBTs Constructed From Time-Domain Large-Signal Measurements

Schreurs, D. ; Vandenberghe, S. ; Taher, H. ; Nauwelaers, B. (2002) ANN Model For SiGe HBTs Constructed From Time-Domain Large-Signal Measurements. In: Gallium Arsenide applications symposium. GAAS 2002, 23-27 september 2002, Milano.
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Abstract

We construct a large-signal artificial neural network (ANN) model for SiGe HBTs, directly from time-domain large-signal measurements. It is known that HBTs are very sensitive to self-heating and therefore we explicitly study the effect on the model accuracy of the incorporation of the self-heating effect in the behavioural model description. Finally, we show that this type of models can be accurate at extreme operating conditions, where classical compact models start to fail.

Abstract
Document type
Conference or Workshop Item (Paper)
Creators
CreatorsAffiliationORCID
Schreurs, D.
Vandenberghe, S.
Taher, H.
Nauwelaers, B.
Subjects
DOI
Deposit date
17 Jun 2004
Last modified
17 Feb 2016 13:37
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