Many different nonlinear modeling approaches for electron devices have been proposed in the last few years, and quite often circuit designers suffer from the lack of reliable comparison criteria, on the basis of which the most suitable model for a specific application can be identified. Moreover, similar strategies are needed even by research groups, whose activity is devoted to the model identification and extraction, in order to quantify the degree of accuracy that will be achievable by the modelling approach adopted. In this paper, a new metric for the estimation of large-signal model accuracy is discussed, which is simply based on the comparison between deembedded measurements and model predictions of small-signal Y-parameters versus the bias voltages at the intrinsic device ports.

A Small-Signal Parameter-Based Metric for Nonlinear Models of Electron Devices

RAFFO, Antonio;VANNINI, Giorgio;
2006

Abstract

Many different nonlinear modeling approaches for electron devices have been proposed in the last few years, and quite often circuit designers suffer from the lack of reliable comparison criteria, on the basis of which the most suitable model for a specific application can be identified. Moreover, similar strategies are needed even by research groups, whose activity is devoted to the model identification and extraction, in order to quantify the degree of accuracy that will be achievable by the modelling approach adopted. In this paper, a new metric for the estimation of large-signal model accuracy is discussed, which is simply based on the comparison between deembedded measurements and model predictions of small-signal Y-parameters versus the bias voltages at the intrinsic device ports.
2006
9780780375420
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1196421
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact