采用连续逼近寄存器 ADC 辅助模拟反馈技术的离散时间三角积分调制器

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Circuits, Systems and Signal Processing Pub Date : 2024-09-12 DOI:10.1007/s00034-024-02832-w
Hsin-Liang Chen, Hsiao-Hsing Chou, Hong-Ming Chiu, Hung-Chi Chang, Jen-Shiun Chiang
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引用次数: 0

摘要

本文提出了一种用于音频波段应用的三角积分调制器(DSM),具有低成本、高分辨率的性能特点。该电路由离散时间开关电容电路实现。它采用辅助 6 位逐次逼近寄存器(SAR)模数转换器(ADC)作为量化器。最重要的是,它结合并共享了 DSM 和 SAR ADC 中的电阻式数模转换器 (DAC)。因此,它可以实现高效率优势并降低芯片布局成本。毕竟,采用 0.18 um 1P6M CMOS 工艺,芯片面积仅为 0.096 mm2。在 25 kHz 信号带宽和 64 的过采样率(OSR)条件下,它的动态范围(DR)达到 96 dB,信噪比和失真比(SNDR)达到 83.1 dB,信噪比(SNR)达到 93.4 dB。
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Discrete-Time Delta-Sigma Modulator with Successively Approximating Register ADC Assisted Analog Feedback Technique

This paper proposes a delta-sigma modulator (DSM) for audio band applications with low-area cost and high-resolution performance characteristics. The proposed circuit is implemented by discrete-time switched capacitor circuits. It employs an assisted 6-bit successive approximation register (SAR) analog-to-digital converter (ADC) as the quantizer. Most importantly, it combines and shares the resistive digital-to-analog (DAC) in DSM and SAR ADC. Therefore, it can achieve high-efficiency advantages and reduce the chip layout cost. After all, the chip area is only 0.096 mm2 by the 0.18 um 1P6M CMOS process. It achieves 96 dB dynamic range (DR), 83.1 dB signal to noise and distortion ratio (SNDR), and 93.4 dB signal to noise ratio (SNR) with 25 kHz signal bandwidth and oversampling ratio (OSR) of 64.

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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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