基于事件驱动的稀疏信号模拟数字转换器的研究

项目名称： 基于事件驱动的稀疏信号模拟数字转换器的研究

项目编号： No.61474074

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 王国兴

作者单位： 上海交通大学

项目金额： 76万元

中文摘要： 基于事件驱动的模数转换器（ADC），是一类不同于传统的模数转换器。此类ADC，不需要采样时钟，仅当信号变化较大（事件产生）时才触发产生采样的动作。在对心电、脑电、缓变的环境温度等稀疏信号进行采集时，具有功耗低、样本点数少等优点。由于其在无线传感网等应用领域中，有超低功耗实现信号采集的巨大潜力，因此最近几年在国际集成电路设计界获得越来越多的关注。但由于在集成电路领域的研究时间还比较短，其在基础理论、体系架构、电路实现等方面都还有很多问题有待研究。一些被广泛接受的ADC的评价方法，例如信噪比、有效位宽等，对事件驱动的ADC并不适合，因此在体系架构、电路设计等方面也都还有很多亟待解决的问题。因此在本项目中，我们提出对事件驱动ADC进行探索，希望通过本项目的研究，能够进一步完善其理论基础和设计方法，并展现这一技术在诸如无线传感器、医疗监护等领域的巨大应用潜力。

中文关键词： 模数转换器；模拟集成电路；超低功耗；稀疏信号

英文摘要： Event-Driven Analog to Digital Converter (ADC), is a new type of ADC that differentiates itself from traditional ones. It does not need sampling clock but instead the sampling and converting is triggered by significant change from the input signal itself (event occurred). This results in less power and less sampling points when dealing with sparse signals such as Electrocardiagram (ECG), Electroencephalography (EEG), and slowly-varying environmental temperature. Due to its potential of ultra low power (ULP) implementation in areas such as wireless sensor networks, this method has attracted quite some attention in the VLSI design community in recent years.However, due to its relatively short history in VLSI design community, there are quite some issues to be researched upon, including all the levels from fundamental theory, architecture, to circuit implementation. For example, even some well-accepted criteria to evaluate traditional ADCs are not suitable for event-based ADCs, such as Signal-to-Noise Ratio, Effective Number of Bits. There are also quite some issue in the choice of architectures and design of circuits. Here, we propose to explore this new type of ADC. Through this project, we hope to improve its theoretical basis and design methodologies, and further, demonstrate its great potential in the fields such as wireless sensor network, medical monitoring, and so on.

英文关键词： Analog to Digital Converter;Analog Integrated Circuits;Ultra Low Power;Sparse Signals