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REDUCTION OF SYSTEMATIC ADC ERRORS BY OVERSAMPLING

P. Arpaia, P. Daponte, L. Michaeli, J.Šaliga
  • Abstract:
    Oversampling, successive noise shaping, and final low-pass filtering is a well-known approach to enhance dynamic range of analog-to-digital converters. However, the potential of this approach can be limited by systematic errors overriding the quantization error. The paper deals with the reduction of this limitation: an interpolating algorithm, based on a moving-average FIR filter with Bayesian coefficients is proposed, and its configuration inside some correction schemes are presented. Effectiveness, drawbacks, and the corresponding evaluation results of these schemes are discussed.
  • Keywords:
    oversampling, noise shaping, systematic error, ADC correction
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  • DOI:
    _unreg_wc-2000.602

Event details:

  • IMEKO TC:
  • Event name:
    XVI IMEKO World Congress
  • Title:

    Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future

  • Place:
    Vienna, AUSTRIA
  • Time:
    25 September 2000 - 28 September 2000