论文标题
动态预测采样对数字转换器的类似物用于稀疏信号感应
Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing
论文作者
论文摘要
本文介绍了基于动态预测采样（DPS）类似物对数字转换器（ADC），该转换器（ADC）提供了输入类似物连续时间信号的不均匀采样。该处理单元使用两个先前的采样来对输入信号产生动态预测，以计算上阈值的数字值和较低的阈值。数字阈值值转换为模拟阈值以形成跟踪窗口。比较器将输入模拟信号与跟踪窗口进行比较，以确定预测是否成功。计数器记录时间戳在不成功的预测之间，这是用于量化的选定抽样点。对于成功预测的采样点，没有执行量化，以便可以保存数据吞吐量和功率。提出的电路使用0.18微型CMOS工艺在1 kHz时设计为10位ADC。结果表明，与Nyquist速率SAR ADC相比，提出的系统可以达到6.17的数据压缩因子，而节省的功率为31％。
This paper presents a dynamic predictive sampling (DPS) based analog-to-digital converter (ADC) that provides a non-uniform sampling of input analog continuous-time signals. The processing unit generates a dynamic prediction of the input signal using two prior-quantized samplings to compute digital values of an upper threshold and a lower threshold. The digital threshold values are converted to analog thresholds to form a tracking window. A comparator compares the input analog signal with the tracking window to determine if the prediction is successful. A counter records timestamps between the unsuccessful predictions, which are the selected sampling points for quantization. No quantization is performed for successfully predicted sampling points so that the data throughput and power can be saved. The proposed circuits were designed as a 10-bit ADC using 0.18 micro CMOS process sampling at 1 kHz. The results show that the proposed system can achieve a data compression factor of 6.17 and a power saving factor of 31% compared to a Nyquist rate SAR ADC for ECG monitoring.
