A High-resolution Δ-Modulator ADC with Oversampling and Noise-shaping for IoT

Ana Correia, P. Barquinha, Joao Marques, J. Goes
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引用次数: 1

Abstract

This paper proposes a novel high-resolution delta-modulator with oversampling and noise-shaping suitable for industrial IoT systems. “Inspired by” a SAR ADC, this architecture uses an integrator in the digital domain, instead of the usual SAR logic. Combining adaptive-step delta-modulation with the adopted low/medium-resolution DAC scheme, an energy efficient A/D converter architecture is proposed, presenting encouraging results in comparison with the reported SAR algorithms. Behavioral simulations demonstrate a dynamic performance of 88 dB of SNDR, corresponding to an ENOB of 14.3 bits, for a 1 MHz input signal bandwidth and using an oversampling-ratio of 64.
物联网高分辨率Δ-Modulator过采样和噪声整形ADC
本文提出了一种适用于工业物联网系统的具有过采样和噪声整形的新型高分辨率delta调制器。受SAR ADC的启发,该架构在数字域使用积分器,而不是通常的SAR逻辑。将自适应阶跃增量调制与采用的低/中分辨率DAC方案相结合,提出了一种节能的A/D转换器架构,与已有的SAR算法相比,取得了令人鼓舞的结果。行为仿真表明,在1 MHz的输入信号带宽下,过采样比为64,SNDR的动态性能为88 dB,对应于14.3位的ENOB。
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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