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

被引：18
|
作者：
Wang, Yinan [1 ]
Johansson, Hakan [2 ]
Xu, Hui [1 ]
机构：
[1] Natl Univ Def Technol, Coll Elect Sci & Engn, Dept Circuit & Syst, Changsha 410073, Hunan, Peoples R China
[2] Linkoping Univ, Dept Elect Engn, Div Commun Syst, S-58183 Linkoping, Sweden
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2015年 / 62卷 / 03期
关键词：
Adaptive; analog-to-digital converter (ADC); background estimation; nonlinearity mismatches; polynomial models; time interleaving; TO-DIGITAL CONVERTERS; INTEGRAL NONLINEARITY;
D O I：
10.1109/TCSII.2014.2368976
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：226 / 230
页数：5
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