⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文提出了一种低过采样率(OSR<8)的四阶噪声整形逐次逼近寄存器(NS-SAR)模数转换器,通过浮空反相放大器(FIA)辅助的EF-CRFF结构实现高阶噪声整形,并采用噪声抑制的推挽缓冲器来提升功耗效率,最终实现了84dB SNDR的高分辨率。
*Equally Credited Authors (ECAs) With the combined merits of SAR and ∆Σ ADCs, the noise-shaping (NS) SAR architecture can achieve high resolution with a mild OSR, making it versatile for a wide range of applications. Nonetheless, designing a highly power-efficient NS-SAR under relatively low OSRs (<8) can be challenging. It requires the design to concurrently address two key considerations. The first is to implement high-order optimized NS with simple and low-power hardware that maximally preserves the efficient nature of the SAR. In this regard, two recent works report 4th-order NS using a cascaded EF structure [1] and an FVF-assisted CIFF structure [2] respectively, both allowing aggressive NTFs to be realized with simple open-loop amps. However, they still employ static amps/buffers, which limit the power improvement. Also, the lack of NTF optimization makes them non-ideal for low OSR designs. The second concern is the growing kT/C noise contribution under low
Tzuhan Wang*, Tian Xie*, Zhe Liu, Shaolan Li
Georgia Institute of Technology, Atlanta, GA