Title
Behavioral Modeling for Calibration of Pipeline Analog-To-Digital Converters
Abstract
In this paper, a design flow for the design of calibrated pipeline analog-to-digital converters (ADCs), and a framework for their behavioral modeling is presented. The model includes also second order effects such as nonlinearities and linear and non-linear memory errors, thus allowing fast and accurate simulations of the ADC behavior. In this way, background calibration techniques can be simulated during the design phase, allowing the optimization of ADC performance even under process variations. The design flow can be used to extract information about sensitivity to operating and environmental conditions, post-calibration performance and also design yield, by extracting a database of Monte Carlo realizations of the ADC stages, so that it can be employed to optimize system and circuit design. Simulations using a O.13-µm CMOS technology show an accuracy of the model as high as 17 bits.
Year
DOI
Venue
2010
10.1109/TCSI.2009.2033532
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
Field
DocType
CMOS integrated circuits,analogue-digital conversion,calibration,integrated circuit design,CMOS technology,Monte Carlo realizations,analog-to-digital converters,background calibration techniques,behavioral modeling,information extraction,linear memory errors,nonlinear memory errors,second order effects,size 0.13 mum,Pipeline analog-to-digital converters (ADCs),behavioral models,design yield,digital background calibration
Monte Carlo method,Computer science,Behavioral modeling,Circuit design,Converters,Design flow,Electronic engineering,CMOS,Integrated circuit design,Calibration
Journal
Volume
Issue
ISSN
57
6
1549-8328
Citations 
PageRank 
References 
9
0.66
21
Authors
3
Name
Order
Citations
PageRank
Centurelli, F.1132.17
Monsurrò, P.290.66
Trifiletti, A.3152.64