Prediction of the spectrum of a digital delta-sigma modulator followed by a polynomial nonlinearity

  • Authors:
  • Kaveh Hosseini;Michael Peter Kennedy;Stephen H. Lewis;Bernard C. Levy

  • Affiliations:
  • California Institute of Technology, Pasadena, CA and University College Cork, Cork, Ireland;Department of Microelectronic Engineering, University College Cork and Tyndall National Institute, Cork, Ireland;Department of Electrical and Computer Engineering, University of California, Davis, CA;Department of Electrical and Computer Engineering, University of California, Davis, CA

  • Venue:
  • IEEE Transactions on Circuits and Systems Part I: Regular Papers
  • Year:
  • 2010

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Abstract

This paper presents a mathematical analysis of the power spectral density of the output of a nonlinear block driven by a digital delta-sigma modulator. The nonlinearity is a memoryless third-order polynomial with real coefficients. The analysis yields expressions that predict the noise floor caused by the nonlinearity when the input is constant.