Adaptive Background Estimation for Static Nonlinearity Mismatches in Two-Channel TIADCs

Author

Yinan Wang ; Johansson, Hakan ; Hui Xu

Author_Institution

Dept. of Circuit & Syst., Nat. Univ. of Defense Technol., Changsha, China

Volume

62

Issue

3

fYear

2015

fDate

Mar-15

Firstpage

226

Lastpage

230

Abstract

Due to channel mismatches in time-interleaved analog-to-digital converters (TIADCs), estimation and compensation methods are required to restore the resolution of the individual converters. Whereas several methods exist for linear mismatches, nonlinearity mismatches have not been widely investigated. This brief presents an adaptive background estimation method for nonlinearity mismatches in two-channel TIADCs. It utilizes a normalized least-mean-square algorithm and assumes slight oversampling as well as a polynomial nonlinearity model that is appropriate when smooth errors dominate. Furthermore, two implementation strategies are proposed to enhance its ability for different applications. The estimation performance of the proposed method is evaluated through behavioral-level simulations.

Keywords

analogue-digital conversion; least mean squares methods; adaptive background estimation method; behavioral-level simulations; normalized least-mean-square algorithm; polynomial nonlinearity model; static nonlinearity mismatches; time-interleaved analog-to-digital converters; two-channel TIADC; Analog-digital conversion; Bandwidth; Circuits and systems; Convergence; Distortion; Estimation; Polynomials; Adaptive; analog-to-digital converter; analog-to-digital converter (ADC); background estimation; nonlinearity mismatches; polynomial models; time interleaving;

fLanguage

English

Journal_Title

Circuits and Systems II: Express Briefs, IEEE Transactions on

Publisher

ieee

ISSN

1549-7747

Type

jour

DOI

10.1109/TCSII.2014.2368976

Filename

6951395