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.
2007
Proceedings of the 1st European Microwave Integrated Circuits Conference, EuMIC 2006
1st European Microwave Integrated Circuits Conference, EuMIC 2006
Manchester, gbr
2006
Resca, D; Santarelli, A.; Raffo, A.; Cignani, R.; Vannini, G.; Filicori, F.; Cidronali, A.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1076394
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