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在采用时间交织型 ADC 的 DSO 中实现精细采样率设置。

Enabling Fine Sample Rate Settings in DSOs with Time-Interleaved ADCs.

机构信息

Department of Electric and Information Technology Engineering (DIETI), University of Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy.

出版信息

Sensors (Basel). 2021 Dec 29;22(1):234. doi: 10.3390/s22010234.

DOI:10.3390/s22010234
PMID:35009776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8749600/
Abstract

The time-base used by digital storage oscilloscopes allows limited selections of the sample rate, namely constrained to a few integer submultiples of the maximum sample rate. This limitation offers the advantage of simplifying the data transfer from the analog-to-digital converter to the acquisition memory, and of assuring stability performances, expressed in terms of absolute jitter, that are independent of the chosen sample rate. On the counterpart, it prevents an optimal usage of the memory resources of the oscilloscope and compels to post processing operations in several applications. A time-base that allows selecting the sample rate with very fine frequency resolution, in particular as a rational submultiple of the maximum rate, is proposed. The proposal addresses the oscilloscopes with time-interleaved converters, that require a dedicated and multifaceted approach with respect to architectures where a single monolithic converter is in charge of signal digitization. The proposed time-base allows selecting with fine frequency resolution sample rate values up to 200 GHz and beyond, still assuring jitter performances independent of the sample rate selection.

摘要

数字存储示波器所使用的时基允许对采样率进行有限的选择,即仅限于最大采样率的几个整数次分频。这种限制具有简化模数转换器到采集存储器的数据传输的优点,并保证了以绝对抖动表示的稳定性能,其与所选采样率无关。另一方面,它阻止了示波器存储资源的最佳使用,并迫使在多个应用中进行后处理操作。本文提出了一种允许以非常精细的频率分辨率选择采样率的时基,特别是作为最大速率的有理数次分频。该提案针对采用时间交错转换器的示波器,与负责信号数字化的单个单片转换器的架构相比,需要采用专门的、多方面的方法。所提出的时基允许以精细的频率分辨率选择高达 200GHz 及以上的采样率值,仍然保证抖动性能与采样率选择无关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/ad7cd0bf2312/sensors-22-00234-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/a47e3f1cb1f2/sensors-22-00234-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/f63165d263a7/sensors-22-00234-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/8421c98b0b3a/sensors-22-00234-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/26bc0399993b/sensors-22-00234-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/41573082815c/sensors-22-00234-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/8ce25f2490c0/sensors-22-00234-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/05d2bfe8e56b/sensors-22-00234-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/37f51ebb9ee5/sensors-22-00234-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/ad7cd0bf2312/sensors-22-00234-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/a47e3f1cb1f2/sensors-22-00234-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/f63165d263a7/sensors-22-00234-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/8421c98b0b3a/sensors-22-00234-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/26bc0399993b/sensors-22-00234-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/41573082815c/sensors-22-00234-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/8ce25f2490c0/sensors-22-00234-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/05d2bfe8e56b/sensors-22-00234-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/37f51ebb9ee5/sensors-22-00234-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2128/8749600/ad7cd0bf2312/sensors-22-00234-g009.jpg

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An FPGA Platform for Next-Generation Grating Encoders.用于下一代光栅编码器的FPGA平台。
Sensors (Basel). 2020 Apr 16;20(8):2266. doi: 10.3390/s20082266.
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A Data-driven Adaptive Sampling Method Based on Edge Computing.一种基于边缘计算的数据驱动自适应采样方法。
Sensors (Basel). 2020 Apr 12;20(8):2174. doi: 10.3390/s20082174.
4
Digital Circuit for Seamless Resampling ADC Output Streams.无缝重采样 ADC 输出流的数字电路。
Sensors (Basel). 2020 Mar 14;20(6):1619. doi: 10.3390/s20061619.