Statistical analysis of a background correlation-based technique for full calibration of pipeline ADCs

Statistical analysis of a background correlation-based technique for full calibration of pipeline ADCs

This paper presents a theoretical analysis of the statistical requirements of a background correlation-based technique for calibration of pipeline ADCs. The calibration algorithm estimates adaptively the appropriate additive error codes which compensate both the gain and non-linear errors in the sta...

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Bibliographische Detailangaben
Hauptverfasser: Gines, A.J., Peralias, E.J., Rueda, A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Analog-to-Digital Converter
Background and Foreground Digital Calibration
Calibration
Convergence
Distortion measurement
Error analysis
Logic
Nonlinear equations
Pipeline ADC
Pipelines
Statistical analysis
Steady-state
Velocity measurement
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Beschreibung
Zusammenfassung:This paper presents a theoretical analysis of the statistical requirements of a background correlation-based technique for calibration of pipeline ADCs. The calibration algorithm estimates adaptively the appropriate additive error codes which compensate both the gain and non-linear errors in the stage under calibration (SUC). Close equations for the transient evolution towards the stationary situation are obtained. Expressions for the effective number of bits (ENOB) and signal-to-noise ratio (SNR) at any updating step are also derived
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2006.1693819