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Automated Macromodelling for Simulation of Signals and Noise in Mixed-Signal/RF Systems

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Analog Circuit Design

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Abstract

During the design of electronic circuits and systems, particularly those for RF communications, the need to abstract a subsystem from a greater level of detail to one at a lower level of detail arises frequently. One important application is to generate simple, yet accurate, system-level macromodels that capture circuit-level non-idealities such as distortion. In recent years, computational (“algorithmic”) techniques have been developed that are capable of automating this abstraction process for broad classes of differential-equationbased systems (including nonlinear ones). In this paper, we review the main ideas and techniques behind such algorithmic macromodelling methods.

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Author information

Authors and Affiliations

  1. University of Minnesota, MN, Minneapolis, 55455

    Jaijeet Roychowdhury

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  1. Jaijeet Roychowdhury
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Editors and Affiliations

  1. Katholieke Universiteit Leuven, Belgium

    Michiel Steyaert

  2. Delft University of Technology, The Netherlands

    Johan H. Huijsing

  3. Eindhoven University of Technology, The Netherlands

    Arthur H.M. van Roermund

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© 2006 Springer

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Roychowdhury, J. (2006). Automated Macromodelling for Simulation of Signals and Noise in Mixed-Signal/RF Systems. In: Steyaert, M., Huijsing, J., van Roermund, A. (eds) Analog Circuit Design. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3885-2_8

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  • DOI: https://doi.org/10.1007/1-4020-3885-2_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-3884-6

  • Online ISBN: 978-1-4020-3885-3

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