Recursive Least Squares Adaptive Digital Background Calibration of Analog-to-Digital Converters

被引：0

作者：

Lin, CaiShao ^{[1
]}

Wu, ZhaoHui ^{[1
]}

Li, Bin ^{[1
]}

Wu, HaiJun ^{[1
,2
]}

机构：

[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China

[2] Guangzhou Runxin Informat & Technol CO Ltd, Guangzhou 510663, Guangdong, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE OF ELECTRON DEVICES AND SOLID-STATE CIRCUITS (EDSSC) | 2013年

关键词：

RLS algorithm; analog-digital conversion (ADC); digital background calibration; ADC;

D O I：

暂无

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：

This paper proposes an adaptive digital background error-correction technique to calibrate analog-to-digital converters (ADCs). The new approach combines an adaptive recursive-least-squares (RLS) algorithm-based FIR filter and an accurate reference ADC. Matlab simulation indicates that the proposed RLS filter is sufficient to remove the effect of large differential and integral nonlinearities resulting from component errors including capacitor mismatch, finite op-amp gain, op-amp offset and sampling-switch-induced offset. With a 100MHz sinusoidal input, the ENOB can be increased from 8.56bit to 15.55bit, the peak SNR can be increased from 53.29dB to 59.35dB and the SFDR can be increased from 56.52dB to 119.26dB.

引用

页数：2

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