REDUCTION OF SYSTEMATIC ADC ERRORS BY OVERSAMPLING

P. Arpaia, P. Daponte, L. Michaeli, J.Ĺ aliga
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
Download:
IMEKO-WC-2000-EWADC-P602.pdf
DOI:
-
Event details
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