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JSSC 2020第11期Data Converters110-nm CMOSDACNeural Network Accelerator

A 65-μW 10-kHz BW 804-dB SNDR Gm-C-Based CT Modulator With a Feedback-Assisted

提出一种基于Gm-C的连续时间ΔΣ调制器,用于抗伪影神经记录接口,具有高线性度和低功耗。
65-μW功耗, 10-kHz带宽, 80.4-dB SNDR, 81-dB动态范围, 76-dB CMRR
Gm-C调制器神经记录线性化技术低功耗连续时间ΔΣ调制器
反馈辅助Gm线性化技术
使用VCO作为第二积分器和相位量化器
在第一积分器采用比例积分传输函数
Abstract
This article presents a Gm-C-based continuous-time delta–sigma modulator (CTDSM) for artifact-tolerant neural recording interfaces. We propose the feedback-assisted G m lin- earization technique, which is applied to the first Gm-C integrator by using a resistive feedback digital-to-analog converter (DAC) in parallel to the degeneration resistor of the input G m.T h i s enables the input G m to process the quantization noise, thereby improving the input range and linearity of the G m-C-based CTDSM