Electron device modelling at very high frequencies needs, as a preliminary step, the identification of suitable parasitic elements mainly describing the passive structure used for accessing the intrinsic device. However, when dealing with device modelling at millimetre-wave frequencies conventional lumped parasitic networks necessarily become less adequate in describing inherently distributed parasitic phenomena. In this paper, a distributed approach is adopted for the modelling of the parasitic network and a new identification procedure, based on electromagnetic simulation and conventional S-parameter measurements, is proposed. The intrinsic device, obtained after de-embedding from the distributed parasitic network, is particularly suitable for the extraction of accurate nonlinear models. Preliminary validation results are provided in the paper.
A distributed approach for millimetre-wave electron device modelling / Resca, D; Santarelli, A.; Raffo, A.; Cignani, R.; Vannini, G.; Filicori, F.; Cidronali, A.. - ELETTRONICO. - (2007), pp. 257-260. (Intervento presentato al convegno 1st European Microwave Integrated Circuits Conference, EuMIC 2006 tenutosi a Manchester, gbr nel 2006) [10.1109/EMICC.2006.282801].
A distributed approach for millimetre-wave electron device modelling
RAFFO, ANTON MARIA;CIDRONALI, ALESSANDRO
2007
Abstract
Electron device modelling at very high frequencies needs, as a preliminary step, the identification of suitable parasitic elements mainly describing the passive structure used for accessing the intrinsic device. However, when dealing with device modelling at millimetre-wave frequencies conventional lumped parasitic networks necessarily become less adequate in describing inherently distributed parasitic phenomena. In this paper, a distributed approach is adopted for the modelling of the parasitic network and a new identification procedure, based on electromagnetic simulation and conventional S-parameter measurements, is proposed. The intrinsic device, obtained after de-embedding from the distributed parasitic network, is particularly suitable for the extraction of accurate nonlinear models. Preliminary validation results are provided in the paper.File | Dimensione | Formato | |
---|---|---|---|
04057624.pdf
Accesso chiuso
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
4.21 MB
Formato
Adobe PDF
|
4.21 MB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.