采用基于 MASH DSM DAC 的双量化的 $Delta\Sigma$ 调制器

IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ahmed Abdelaal;Michael Pietzko;John G. Kauffman;Ankesh Jain;Maurits Ortmanns
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引用次数: 0

摘要

多位(MB)量化允许具有低过采样比(OSR)的高分辨率Delta-Sigma调制器(DSMs)。此外,它允许更高的最大稳定幅度(MSA),实现降低抖动灵敏度,并放宽了对DSM环滤波器(LF)的动态要求。然而,由于MB数模转换器(DAC)中的元件失配,MB量化增加了非线性的主要来源,这通常影响性能。目前的技术(SoA)提供了许多校准技术,尽管数字功耗和面积消耗可能很高,校准时间也很长。在本文中,我们的目标是基于双量化的免校准DAC,并建议采用多级噪声整形(MASH)数字DSM (DDSM),以避免主DSM LF和DDSM DAC之间的架构折衷。说明了实现的权衡,并讨论了主LF和DDSM中的稳定性约束。推导了一个示例性实现并进行了仿真,结果为将来实现具有本质高线性度的mbdsm的MASH DDSM电路实现奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ΔΣ Modulators Employing MASH DSM DAC-Based Dual Quantization
Multibit (MB) quantization allows high resolution Delta-Sigma modulators (DSMs) with low oversampling ratio (OSR). Furthermore, it allows higher maximum stable amplitude (MSA), achieves reduced jitter sensitivity, and relaxes the dynamic requirements on the DSM loop-filter (LF). However, MB quantization adds a dominant source of non-linearity due to element mismatch in the MB digital-to-analog converter (DAC) which often dominates the performance. State of the art (SoA) presents many calibration techniques, though digital power and area consumption can be high and calibration time be significant. In this paper we target a calibration-free DAC based on dual quantization and propose to employ a Multistage noise SHaping (MASH) Digital-DSM (DDSM) to avoid architectural compromises between the main DSM LF and the DDSM DAC. The implementation trade-offs are illustrated, and stability constraints in both the main LF and the DDSM are addressed. An exemplary implementation is derived and simulated, and the results shall lay the foundation for future circuit implementations of MASH DDSM to realize MB DSM with intrinsically high linearity.
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来源期刊
IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程:电子与电气
CiteScore
9.80
自引率
11.80%
发文量
441
审稿时长
2 months
期刊介绍: TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.
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