A 7.9fJ/Conversion-Step and 37.12aFrms Pipelined-SAR Capacitance-to-Digital Converter with kT/C Noise Cancellation and Incomplete-Settling-Based Correlated Level Shifting

📋 论文概要

本文提出了一种基于流水线逐次逼近寄存器(Pipelined-SAR)架构的电容数字转换器(CDC)，通过kT/C噪声消除技术实现了高精度和低功耗。该转换器达到了7.9fJ/转换步进的能效和37.12aFrms的噪声性能，解决了传统高分辨率CDC中采样kT/C噪声限制的问题。

💡 主要创新点

• 采用流水线SAR架构结合kT/C噪声消除技术，在保持高速转换的同时有效抑制了采样热噪声。
• 实现了极低的功耗效率（7.9fJ/conversion-step）和超低噪声（37.12aFrms），适合高精度电容传感应用。

🏷 关键词

📄 原文摘要

sensor applications, capacitive sensors are widely used to convert various capacitances into digital signals, and the demand for power-efficient high-resolution capacitance-to-digital converters (CDCs) is on the rise. In a high-resolution CDC, kT/C noise, due to the sampling process, becomes dominant in discrete-time systems [1-3], especially in the sub-fF sensor fields. ∆Σ architectures averaging kT/C noise with a high oversampling rate require extended conversion time (~ms) and degraded power efficiency (~pJ/conv.step). The CT ∆Σ CDC implemented in [4] eliminates the samplinginduced kT/C noise, but it loses frequency scalability and relies heavily on static high-gain analog components. This work proposes a Pipelined-SAR CDC with kT/C noise cancellation that

👥 作者与机构

Jihang Gao1, Linxiao Shen1, Heyi Li1, Siyuan Ye1, Jie Li1, Xinhang Xu1, Jiajia Cui1,

Yunhung Gao1, Ru Huang1, Le Ye1,2 Peking University, Beijing, China Advanced Institute of Information Technology of Peking University, Hangzhou, China 1 2 In IoT