Analytic investigations on the susceptibility of nonlinear analog circuits to substrate noise

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Widemann, C.; Stegemann, S.; John, W.; Mathis, W.: Analytic investigations on the susceptibility of nonlinear analog circuits to substrate noise. In: Advances in Radio Science 11 (2013), S. 171-175. DOI:

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This work deals with the conducted susceptibility of nonlinear analog circuits with respect to substrate noise. The substrate coupling mechanism is modeled by a passive three-terminal network that is obtained by means of the finite element method with a subsequently performed model order reduction. Applying this substrate model to the bulk terminal of MOS transistors in integrated analog circuits, it is possible to examine the influence of substrate noise on the circuit's functionality. By means of a block-oriented approach, analytic expressions for the output behavior of the circuits are found. The utilized multi-input Wiener model separates the linear dynamic from the nonlinear static circuit properties. Due to this separation the frequency response of both signals, i.e.,input signal and substrate noise, respectively, can be identified, and hence, the frequency range in which the circuit is most susceptible to substrate noise. Since the nonlinear static behavior of each MOS transistor depends on two signals, truncated multivariate Taylor series expansions of the nonlinear elements are performed on the basis of the EKV model description (Enz et al., 1995). The proposed modeling is illustrated by a simple example. © 2011 Author(s).
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2013
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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1 image of flag of Germany Germany 106 65.43%
2 image of flag of United States United States 16 9.88%
3 image of flag of No geo information available No geo information available 13 8.02%
4 image of flag of China China 7 4.32%
5 image of flag of Canada Canada 4 2.47%
6 image of flag of Russian Federation Russian Federation 3 1.85%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 1.23%
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9 image of flag of Brazil Brazil 2 1.23%
10 image of flag of Vietnam Vietnam 1 0.62%
    other countries 6 3.70%

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