A recently proposed, technology-independent model is adopted for small- and large-signal performance prediction of PHEMT devices. The model is based on the definition of a quasi-static associated device, which is controlled by means of equivalent voltages, and can be easily identified from conventional DC and small-signal differential parameter measurements, without involving nonlinear optimization procedures. Experimental results for a GaAs PHEMT confirming the model accuracy at high operating frequencies are provided in the paper and compared with the prediction capability of two different models: the behavioral Nonlinear Discrete Convolution model and the equivalent-circuit based TriQuint’s Own Model provided by the foundry.
Accurate Small- and Large-Signal Predictions Using a Simple, Nonquasi-Static, Empirical Model / V. Di Giacomo; A. Santarelli; A. Raffo; P. A. Traverso; G. Vannini; F.Filicori. - STAMPA. - (2006), pp. 63-66. (Intervento presentato al convegno TARGET DAYS 2006 tenutosi a Frascati (Italy) nel 16-18 Oct, 2006).
Accurate Small- and Large-Signal Predictions Using a Simple, Nonquasi-Static, Empirical Model
SANTARELLI, ALBERTO;TRAVERSO, PIER ANDREA;FILICORI, FABIO
2006
Abstract
A recently proposed, technology-independent model is adopted for small- and large-signal performance prediction of PHEMT devices. The model is based on the definition of a quasi-static associated device, which is controlled by means of equivalent voltages, and can be easily identified from conventional DC and small-signal differential parameter measurements, without involving nonlinear optimization procedures. Experimental results for a GaAs PHEMT confirming the model accuracy at high operating frequencies are provided in the paper and compared with the prediction capability of two different models: the behavioral Nonlinear Discrete Convolution model and the equivalent-circuit based TriQuint’s Own Model provided by the foundry.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.