Broadband Noise System Allows Measurements According to Both Standard Methods

Meys, René; Boukerroum, Fayçal

doi:10.1109/tim.2010.2087813

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…The scattering matrices and the wave approach have appeared as an efficient tool for computer-aided design of networks working at microwave frequencies [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The wave approach gives the possibility to treat the network noise in terms of incident and reflected waves, thus being compatible with the scattering matrix description of microwave networks.…”

Section: Introductionmentioning

confidence: 99%

“…This is important because the scattering parameters used for performing the noise analysis are obtained with high accuracy by using vector network analyzers, which contribute to the accuracy of noise analysis . Moreover, the noise wave representation offers alternative measurement techniques . Therefore, the wave representation of noise provides a suitable alternative to the most commonly used representations of noise generated in network based on the equivalent voltage and/or current sources.…”

Section: Introductionmentioning

confidence: 99%

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Wave approach for noise modeling of gallium nitride high electron‐mobility transistors

Ɖorđević¹,

Marinković

Crupi

et al. 2015

Int J Numerical Modelling

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The wave approach has appeared as a very efficient tool for modeling as well as for measurements of noise parameters of microwave transistors. Having in mind the attractiveness of transistors in gallium nitride technology in modern communication systems, where it is very important to keep the noise on a low level and, thus, to have accurate transistor noise models, in this paper, the wave approach is applied for the noise modeling of high electron-mobility transistor in gallium nitride technology. The noise wave representation of the transistor intrinsic circuit noise is used, where the noise wave parameters are modeled by exploiting the artificial neural networks. The modeling results, compared with the measured data and with those obtained by the conventional noise equivalent circuit model, provide a verification of the developed model accuracy.

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