2009 2nd International Workshop on Electron Devices and Semiconductor Technology 2009
DOI: 10.1109/edst.2009.5166138
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Bias dependent and scalable small-signal modeling of pseudomorphic HEMTs

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“…Among the advantages of this approach, the following can be listed: relative robustness to device non‐uniformities and measurement errors, reduced number of equations required for solution, applicability also to complicated topologies (for which closed formulae cannot be found). Also these methods rely on a fundamental hypothesis, namely, the validity of a certain set of scaling rules; however, this assumption has been consistently confirmed in practice and is not really a matter of discussion (although slightly different scaling rule sets and even SSEC topologies have been proposed over time) .…”
Section: Introductionmentioning
confidence: 99%
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“…Among the advantages of this approach, the following can be listed: relative robustness to device non‐uniformities and measurement errors, reduced number of equations required for solution, applicability also to complicated topologies (for which closed formulae cannot be found). Also these methods rely on a fundamental hypothesis, namely, the validity of a certain set of scaling rules; however, this assumption has been consistently confirmed in practice and is not really a matter of discussion (although slightly different scaling rule sets and even SSEC topologies have been proposed over time) .…”
Section: Introductionmentioning
confidence: 99%
“…The example also includes the extraction of a noise model, by means of a well-known noise-temperature approach. Both the small-signal and noise models agree well with the experimental data.Also these methods rely on a fundamental hypothesis, namely, the validity of a certain set of scaling rules; however, this assumption has been consistently confirmed in practice and is not really a matter of discussion (although slightly different scaling rule sets and even SSEC topologies have been proposed over time) [7,[11][12][13][14][15].The direct-extraction approach and the fit/optimization-based approach are not totally separate; however, in fact, they often present some points of contact. The most important one, probably, is the very fact that optimization typically involves selecting an initial guess of the solution, which in turn calls for the application of a direct-extraction method to start with: this is the case, for instance, for the algorithm described in [11], as well as that presented later in this contribution.…”
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confidence: 99%
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