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首页> 外文期刊>IEEE Transactions on Circuits and Systems. II, Express Briefs >Adaptive digital correction of analog errors in MASH ADCs. I.Off-line and blind on-line calibration
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Adaptive digital correction of analog errors in MASH ADCs. I.Off-line and blind on-line calibration

机译：MASH ADC中模拟错误的自适应数字校正。一，离线和盲在线校准

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摘要

Cascaded delta-sigma (MASH) modulators for higher ordernoversampled analog-to-digital conversion rely on precise matching ofncontributions from different quantizers to cancel lower ordernquantization noise from intermediate delta-sigma stages. This first partnof the paper studies the effect of analog imperfections in thenimplementation, such as finite gain of the amplifiers and capacitornratio mismatch, and presents algorithms and architectures for digitalncorrection of such analog imperfections, as well as gain and spectralndistortion in the signal transfer function. Digital correction isnimplemented by linear finite-impulse response (FIR) filters, of whichnthe coefficients are determined through adaptive off line or on-linencalibration. Of particular interest is an on-line “blind”ncalibration technique, that uses no reference and operates directly onnthe digital output during conversion, with the only requirement on thenunknown input signal that its spectrum be bandlimited. Behavioralnsimulations on dual-quantization oversampled converters demonstratennear-perfect adaptive correction and significant improvements innsignal-to-quantization-noise performance over the uncalibrated case,nusing as few as 5 FIR coefficients. An alternative on line adaptationntechnique using test signal injection and experimental results fromnsilicon are presented in the second part, in a companion paper
机译：用于更高阶过采样的模数转换的级联delta-sigma（MASH）调制器依赖于来自不同量化器的n贡献的精确匹配，以消除来自中间delta-sigma级的较低阶量化噪声。本文的第一部分研究了模拟缺陷在实现中的影响，例如放大器的有限增益和电容器比失配，并提出了用于对这些模拟缺陷进行数字校正的算法和体系结构，以及信号传递函数中的增益和频谱失真。数字校正是通过线性有限脉冲响应（FIR）滤波器实现的，其系数是通过自适应离线或在线n校准来确定的。尤其令人关注的是一种在线“盲”校准技术，该技术不使用参考，并且在转换过程中直接对数字输出进行操作，仅对当时未知的输入信号进行频谱限制。双量化过采样转换器的行为仿真证明了近乎完美的自适应校正，并且在未经校准的情况下，仅使用5个FIR系数就显着改善了信号量化噪声性能。在第二部分中，在另一篇论文中介绍了使用测试信号注入和nsilicon的实验结果的另一种在线自适应技术。

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