Title
A Blind Calibration Scheme for Switched-Capacitor Pipeline Analog-to-Digital Converters
Abstract
A foreground calibration algorithm is proposed to digitally self-calibrate a switched-capacitor (SC), pipelined, analog-to-digital converter (ADC). Static errors resulting from capacitor mismatch, charge transfer loss (from limited amplifier dc gain) and variance in Multiplying DAC (MDAC) voltages are estimated and compensated for. The proposed algorithm reuses the electrical components of the pipeline stages to instantiate ΔΣ converters in the stages' interfaces. By feeding to those converters self-generated input signals and storing the output stream of codes, the algorithm is able to infer the electrical parameters of the reused elements. The algorithm does not require external stimulus or specialized circuitry to be used as true ground but depends on the stages sub-ADC threshold levels precision, diminishing its performance in circuits where error is dominated by sub-ADC input offset. A number of 10-bit ADC's with a mean uncalibrated Effective Number Of Bits (ENOB) of 6.3 bits where simulated, and a resolution improvement between 2.5 bits, for the best case, and 1 bit for the worst, were observed.
Year
DOI
Venue
2020
10.1109/LASCAS45839.2020.9069047
2020 IEEE 11th Latin American Symposium on Circuits & Systems (LASCAS)
Keywords
DocType
ISSN
Delta-sigma modulation,Analog-digital conversion,Electric variables measurement,Parameter estimation,Optimization
Conference
2330-9954
ISBN
Citations 
PageRank 
978-1-7281-3428-4
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Juan A. Bozzo100.34
Angel Abusleme200.34
Jose Silva-Martinez363086.56