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.

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