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一个62.2dB的SNDR事件驱动交叉路口ADC与SAR辅助延迟补偿循环,用于节省时间的生物医学信号采集

Mengyu Li, Yi Huo, Shuang Song

IEEE transactions on biomedical circuits and systems

|July 4, 2024

概括

本研究介绍了一种由事件驱动的无时钟模拟数字转换器 (ADC),该转换器将其采样率调整为输入信号. 这项创新为生物医学应用 (如ECG采集) 提供了显著的节能和数据压缩.

科学领域:

生物医学工程生物医学工程
电气工程电气工程
信号处理信号处理

背景情况:

传统的ADC通常消耗大量电力,特别是在稀疏的信号采集期间.
现有的无时钟ADC可能会受到循环延迟引起的扭曲,从而限制性能.
生物医学应用需要低功耗,高分辨率的数据采集系统.

研究的目的:

提出一个针对生物医学应用而优化的事件驱动,无时钟交叉路口ADC (LC-ADC).
通过活动依赖抽样来提高功率效率和数据压缩.
使用SAR辅助循环来提高分辨率和减轻扭曲.

主要方法:

实现了一个事件驱动的无时钟交叉路口ADC (LC-ADC).
集成了一个由连续近似注册 (SAR) 辅助的循环来解决扭曲.
采用了取决于活动的采样率来进行电力和数据管理.

主要成果:

实现了20kHz输入的62.2dB的信号对噪声和扭曲比 (SNDR) 的峰值.
展示了最好的沃尔登FoM (29.7fJ/conv.-step) 和施瑞尔FoM (158.6dB) 在这个类别中.
对于1.5kHz以下的输入频率,实现的亚微瓦特功率消耗.
为模拟的心电图信号实现了~7X的数据压缩.

结论:

拟议的LC-ADC为时间稀疏的生物医学信号采集提供了一种节能和有效的解决方案.
由事件驱动的自适应采样方法显著降低了功耗.
在没有外部校准的情况下,SAR辅助循环成功提高了分辨率和功率效率.

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