Machine-Learning-Based Mismatch Calibration for Time-Interleaved ADCs

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jiajun Qin;Wentao Zhong;Yi Cao;Jiaming Li;Zhe Cao;Lei Zhao
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引用次数: 0

Abstract

The time-interleaved analog-to-digital conversion (TIADC) technique provides an effective way to achieve high sampling speed. However, a critical challenge in TIADC design arises from the presence of mismatches among parallel sub-analog-to-digital converters (ADCs), which detrimentally affect system performance. In this article, we propose a machine-learning-based method to address these mismatches across a broadband of input signal frequencies. Different from conventional approaches, this method avoids complex and specific matrix operations and reduces the compensation filter order required to achieve a given reconstruction accuracy. To assess the efficacy of our proposed method, we designed a 5-Gs/s 12-bit TIADC system. Through extensive testing, the results demonstrate notable improvements in the effective number of bits (ENOBs) following real-time calibration. Specifically, for input frequencies below 500 MHz, the ENOB surpasses 9 bits, while for frequencies ranging from 500 MHz to 1.25 GHz, it exceeds 8 bits.
基于机器学习的时隙 ADC 失配校准
时间交错模数转换(TIADC)技术是实现高采样速度的有效方法。然而,并行子模数转换器(ADC)之间存在的不匹配问题是 TIADC 设计中的一个关键挑战,会对系统性能产生不利影响。在本文中,我们提出了一种基于机器学习的方法,以解决宽带输入信号频率中的这些不匹配问题。与传统方法不同的是,这种方法避免了复杂和特定的矩阵运算,并减少了为达到给定重构精度所需的补偿滤波器阶数。为了评估我们提出的方法的有效性,我们设计了一个 5 Gs/s 12 位 TIADC 系统。通过广泛的测试,结果表明实时校准后的有效位数(ENOBs)有了显著提高。具体来说,对于低于 500 MHz 的输入频率,ENOB 超过了 9 位,而对于 500 MHz 至 1.25 GHz 的频率,ENOB 则超过了 8 位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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