⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一种连续时间噪声整形SAR电容数字转换器(CDC)，用于IoT环境监测应用，实现了189.3dB的FoMS和14.5fJ/转换步的低功耗。它通过噪声整形和过采样技术解决了小电容变化高精度测量与低功耗之间的矛盾。
capacitance-to-digital converters (CDCs) have attracted significant attention in IoT applications to monitor environmental conditions such as humidity [1-3] and pressure [3-5]. One of the key challenges is how accurately they can measure small capacitance variations caused by changes in dielectric properties at lower power consumption, increasing the demand for power-efficient high-resolution CDCs. Among various topologies, the ∆ΣM-based structure has emerged as a preferred choice for its ability to achieve high resolution by oversampling and noise-shaping. However, its capacitance-resolution performance is still limited by the kT/C and flicker noises. Figure 28.2.1 shows conceptual block diagrams of two prior high-resolution CDC
Gichan Yun1, Haidam Choi1, Yoontae Jung1,2, Jiho Myung1, Sein Oh1,
Sohmyung Ha3, Minkyu Je1 KAIST, Daejeon, Korea, *now at imec, Leuven, Belgium 3 New York University Abu Dhabi, Abu Dhabi, United Arab Emirates 1 2 In recent years,