• DocumentCode
    2658525
  • Title

    A statistical technique for the determination of the noise power gain in higher-order Σ-Δ A/D converters excited by DC input signals

  • Author

    Fraser, Neil A. ; Nowrouzian, Behrouz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    2004
  • fDate
    13-15 Dec. 2004
  • Firstpage
    563
  • Lastpage
    566
  • Abstract
    The existing techniques available for the statistical determination of the noise power gain (NPG) in general-order Σ-Δ A/D converters are based on the assumption that the quantizer input signal has a Gaussian distribution. However, empirical investigations reveal that this assumption holds true for the special case of the conventional first-order Σ-Δ A/D converters only. This paper presents an alternative technique for a more accurate determination of NPG for higher-order Σ-Δ A/D converters excited by DC input signals. This is achieved by employing the Gram-Charlier series for a (quasi-linear) modelling of the quantizer input signal. The proposed technique is based on the practical assumption that the constituent quantizer operates in its overload-free region. A typical practical application example is given to illustrate the main results.
  • Keywords
    circuit noise; network analysis; sigma-delta modulation; statistical analysis; statistical distributions; DC input signal excited ADC; Gram-Charlier series; NPG; higher-order Σ-Δ A/D converters; noise power gain determination; overload-free operating region; quantizer input signal distribution; quantizer input signal quasi-linear modelling; statistical techniques; Additive white noise; Analog-digital conversion; Convolution; Digital signal processing; Feedback loop; Gain; Gaussian distribution; Gaussian noise; Sampling methods; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on
  • Print_ISBN
    0-7803-8715-5
  • Type

    conf

  • DOI
    10.1109/ICECS.2004.1399743
  • Filename
    1399743