4.4 Article

A non-pipelined ADC with a GM-R amplifier

期刊

MICROELECTRONICS JOURNAL
卷 137, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.mejo.2023.105807

关键词

High resolution; Offset calibration; Residue amplifier; SAR ADC

向作者/读者索取更多资源

A GM-R amplifier is proposed as a residual amplifier for a 16-bit two-stage non-pipelined ADC in intermittent signal acquisition applications. It utilizes resistor ratios to generate constant gain and provides a solution for small input amplitudes and wide temperature ranges. The input circuit consists of source followers and a bridge resistor to convert residual voltages to currents. The design prototype achieved high SNR, SNDR, THD, and low DNL and INL after calibration.
A GM-R amplifier is proposed as a residual amplifier to implement a 16-bit two-stage non-pipelined ADC in intermittent signal acquisition applications. Unlike common capacitive feedback amplifiers, residual amplifiers utilize resistor ratios to generate constant gain for small input amplitude ranges and wide temperature ranges. The input circuit of the proposed amplifier consists of two source followers and a bridge resistor, thus converting residual voltages to currents, and the transconductance is the reciprocal of the bridge resistor. The amplifier offset voltage is corrected by a one-time foreground offset calibration, and the gain error is calibrated with the capacitor weights in the first stage. Redundancy is adopted between the two stages to accommodate the residual offset voltage after calibrating the offset voltage of a comparator and the gain variation. A design prototype is implemented in 180 nm CMOS technology, occupies a 0.69 mm2 footprint, and consumes 3.0 mW from 1.8/5 V power supplies. After calibration, it achieves the SNR of 88.2 dB, SNDR of 87.6 dB, and THD of -95.6 dB at 200 kHz sampling rate. The measured differential nonlinearity (DNL) and integral nonlinearity (INL) are -0.62/ +0.74 LSB and -1.39/+1.50 LSB, respectively.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据