Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing
Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing
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DOI：
10.1109/tcsii.2023.3238279
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Xiaochen Tang;Mario Renteria-Pinon;Wei-Chien Tang
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文献类型：
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作者：
Xiaochen Tang;Mario Renteria-Pinon;Wei-Chien Tang
本简介介绍了一种基于动态预测采样 (DPS) 的模数转换器 (ADC)，它提供输入模拟连续时间信号的非均匀采样。处理单元使用两个预先量化的采样来计算上阈值和下阈值的数字值来生成输入信号的动态预测。数字阈值被转换为模拟阈值以形成跟踪窗口。动态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。计数器记录不成功预测之间的时间戳，这些时间戳是选定的量化采样点。对于成功预测的采样点不进行量化，从而可以节省数据吞吐量和功耗。所提出的电路被设计为 10 位 ADC，使用 0.18 micro CMOS 工艺以 1 kHz 采样。结果表明，与用于心电监测的奈奎斯特率 SAR ADC 相比，所提出的系统可以实现 6.17 的数据压缩系数和 31% 的节能系数。
This brief 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 dynamic 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.