管道模数转换器的全数字背景校准技术

Ahmad Tahmasebi, Arash Kamali, H. B. Bahar, Z. D. Koozehkanani
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引用次数: 4

摘要

本文介绍了一种新的管道模数转换器(adc)背景校准技术。新方案利用现有的数字前景校准算法,并将其扩展到后台。目标是在不停止输入转换的情况下在后台对流水线adc进行数字校准。在该方法中,使用一个附加级与待校准级并联,并使用一个循环ADC来适应校准。额外级和循环ADC仅在校准过程中使用。对管道结构中的误差来源以及误差对每级1位残差图的影响进行了识别和讨论。数字背景校准考虑了电容失配、比较器偏移、电荷注入和有限运算放大器增益。通过将所提出的校准应用于12位分辨率的流水线ADC,最大INL从14提高到0.6 LSB,最大DNL从26提高到0.8 LSB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fully Digital Background Calibration Technique for Pipeline Analog-to-Digital Converters
This paper describes a new Background calibration technique for pipeline analog-to-digital converters (ADCs). The new scheme utilizes an existing digital foreground calibration algorithm and extends it to work in background. The goal is to digitally calibrate the pipeline ADCs in the background without stopping the input conversion. In this method one additional stage connected in parallel to the stage under calibration and one cyclic ADC are used to accommodate the calibration. The extra stage and the cyclic ADC are only used during the calibration process. Sources of error in pipeline architectures and effects of error on residue plot of 1-bit per stage are identified and discussed. The digital background calibration accounts for capacitor mismatch, comparator offset, charge injection and finite op-amp gain. By applying proposed calibration to a 12 bit resolution pipeline ADC, maximum INL improved from 14 to 0.6 LSB, and maximum DNL improved from 26 to 0.8 LSB.
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