一个0.01 mm2的全差分2级放大器,采用无参考CMFB,采用架构切换方案,用于带宽变化

M. Kuhl, Y. Manoli
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引用次数: 12

摘要

本工作提出了一种面积高效的全差分两级放大器作为主动神经记录探头的模拟前置放大器。它的特点是一个架构切换方案,以减少可变带宽系统中未使用的反馈元素的开销,以及一个双差分自定义共模反馈,以尽量减少偏置开销。包含所有反馈元件的面积为9977 μm2,比以前发表的神经读出带通LNAs小2倍以上。它提供可切换的低截止频率(1或140 Hz)和可调谐的高截止频率(0.24-49 kHz),增益为26-32 dB,输入噪声低至11.9 μVrms。该LNA在1.8 V电压下功耗为0.1 ~ 8.2 μA,采用0.18 μm CMOS工艺实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 0.01 mm2 fully-differential 2-stage amplifier with reference-free CMFB using an architecture-switching-scheme for bandwidth variation
This work presents an area-efficient fully-differential 2-stage amplifier as analog pre-amplifier for active neural recording probes. It features an architecture-switching-scheme to reduce the overhead of unused feedback elements in variable-bandwidth-systems, as well as a double-differential self-defining common mode feedback to minimize the biasing overhead. Its area including all feedback elements measures 9,977 μm2, which is more than 2x smaller than previously published neural readout bandpass LNAs. It offers a switchable lower (1 or 140 Hz) and tunable upper (0.24-49 kHz) cut-off frequency with a gain of 26-32 dB and an input noise down to 11.9 μVrms. The LNA consumes 0.1-8.2 μA at 1.8 V and was implemented in a 0.18 μm CMOS technology.
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