2015
DOI: 10.2478/eletel-2015-0052
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Noise Characterization of Differential Multi- Element Multiport Networks - the Wave Approach

Abstract: In this paper there is presented and discussed a general analysis method for noise characterization of noisy multielement multiport differential networks. It is based on mixed mode, differential and common mode, noise waves representation of noise, generalized mixed-mode scattering parameters and generalized mixed-mode noise wave correlation parameters for the network. There are derived analytical relation between the noise figure for a given output port and the noise matrix and the scattering parameters of th… Show more

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Cited by 4 publications
(1 citation statement)
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“…Most of the proposed transistor noise models represent the noise generated in a component using equivalent voltage and/or current sources [3,[5][6]. However, at microwave frequencies, a wave representation of noise looks attractive since it allows the use of scattering matrices for the noise computations, leading to advantages in Computer-Aided Design (CAD) of microwave networks [2,[7][8][9][10][11][12][13][14][15][16][17][18]. The power of the wave representation of noise lies in its ability to treat the network noise in terms of incident and reflected waves, which is compatible with the scattering matrix description of microwave networks.…”
Section: Introductionmentioning
confidence: 99%
“…Most of the proposed transistor noise models represent the noise generated in a component using equivalent voltage and/or current sources [3,[5][6]. However, at microwave frequencies, a wave representation of noise looks attractive since it allows the use of scattering matrices for the noise computations, leading to advantages in Computer-Aided Design (CAD) of microwave networks [2,[7][8][9][10][11][12][13][14][15][16][17][18]. The power of the wave representation of noise lies in its ability to treat the network noise in terms of incident and reflected waves, which is compatible with the scattering matrix description of microwave networks.…”
Section: Introductionmentioning
confidence: 99%