By Topic

Algorithmic ADC Offset Compensation by Nonwhite Data Chopping: System Model and Basic Theoretical Results

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Vitali, S. ; Adv. Res. Center for Electron. Syst. (ARCES), Univ. of Bologna, Bologna ; Cimatti, G. ; Rovatti, R. ; Setti, G.

This paper is devoted to show the impact of nonwhite chopping on the offset compensation in time-interleaved analog-to-digital converters. We develop a theoretical framework allowing the selection of optimal chopping sequences. We show that, on the one hand, the adoption of these (generally nonwhite) sequences allows to achieve faster offset compensation (thus increasing the signal-to-noise ratio) and, on the other hand, a better spectral shaping (thus increasing the spurious-free dynamic range). As a byproduct of our analysis, we prove that the average offset estimation which is used in many ADC implementations is asymptotically the best available linear estimation of offset that, in turn, is the best estimation when the signal to be converted can be assumed to be a Gaussian process.

Published in:

Circuits and Systems I: Regular Papers, IEEE Transactions on  (Volume:55 ,  Issue: 6 )