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Comparison of HEMT non‐linear model extraction approaches based on small signal and on large signal measurements
Author(s) -
Carmen CurrásFrancos M.
Publication year - 2003
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.481
Subject(s) - high electron mobility transistor , signal (programming language) , computer science , linear model , extraction (chemistry) , electronic engineering , engineering , electrical engineering , machine learning , chemistry , chromatography , transistor , voltage , programming language
In this paper the extraction of a non‐linear model for a HEMT is undertaken by means of two different approaches. The first approach is the classical procedure that consists of using the small signal data to fully generate a non‐linear model. The second alternative is developed following a different tactics that uses directly the response of the device to a large signal stimulus. Both approaches are compared in terms of required extraction measurements and limits of application. Copyright © 2002 John Wiley & Sons, Ltd.