郑彦泽,周乃馨,赵贻玖,孙思成,梅思涛.混合并行交替最优采样技术研究[J].电子测量与仪器学报,2023,37(4):18-26
混合并行交替最优采样技术研究
Optimal configuration analysis of hybrid parallel interleaved acquisition techniques
  
DOI:
中文关键词:  时间交替采样  量化交替采样  最优配置  量化噪声  量化偏移误差
英文关键词:TIADC  QIADC  optimal configuration  quantization noise  offset error
基金项目:国家自然科学基金(61671114)、2020 年中央高校基本科研重大重点培育(ZYGX2020ZB001)项目资助
作者单位
郑彦泽 1. 电子科技大学自动化工程学院 
周乃馨 1. 电子科技大学自动化工程学院 
赵贻玖 1. 电子科技大学自动化工程学院,2. 电子科技大学深圳高等研究院 
孙思成 1. 电子科技大学自动化工程学院 
梅思涛 1. 电子科技大学自动化工程学院 
AuthorInstitution
Zheng Yanze 1. School of Automation Engineering, University of Electronic Science and Technology of China 
Zhou Naixin 1. School of Automation Engineering, University of Electronic Science and Technology of China 
Zhao Yijiu 1. School of Automation Engineering, University of Electronic Science and Technology of China,2. Shenzhen Institute for Advanced Study, UESTC 
Sun Sicheng 1. School of Automation Engineering, University of Electronic Science and Technology of China 
Mei Sitao 1. School of Automation Engineering, University of Electronic Science and Technology of China 
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中文摘要:
      时间交替采样(TIADC)与量化交替采样技术(QIADC)分别是提升采集系统采样率与分辨率的有效方案。 基于 TIADC 与 QIADC 的混合并行采集系统可以提供不同采样率与分辨率的组合,但由于采集系统的高采样率与高分辨率不能兼顾,因此 本文首先研究该系统的最佳采集性能。 通过分析系统采样率与分辨率对输入噪声及量化噪声的影响,得出在系统可用 ADC 数 量一定的情况下,存在最优的采样率和分辨率,使得系统达到最佳采集精度。 另外,本文对偏移量不匹配导致 QIADC 系统精度 降低的影响进行了分析,建立了量化偏移误差与采集系统量化提升位数之间的关系模型。 理论分析与实验结果均表明,当输入 噪声能量与量化噪声能量相等时,采样率与分辨率的组合是最优的,且此时系统的输出信噪比取得最大值,说明系统具有最佳 的采集性能。
英文摘要:
      Time-interleaved analog-to-digital converters ( TIADC) and quantization-interleaved ADC ( QIADC) techniques are the effective solutions to improve sampling rate and resolution of acquisition systems. The hybrid parallel acquisition system based on TIADC and QIADC offers the capability to provide a blend of varying sampling rates and resolutions, however, high sampling rate is not compatible with high resolution. In this paper, the focus is on investigating the optimal acquisition performance of the system. To this end, we analyze the effects of the sampling rate and resolution on both input noise and quantization noise in the system. It is concluded that it exists an optimal sampling rate and resolution combination for a given number of ADCs present in the system, which makes the system achieve the best acquisition accuracy. Additionally, we also analyze the impact of offset mismatch and conclude that the offset error degrades the performance of QIADC, and establish the relationship between offset error and increased bits. Theoretical analysis and simulation results demonstrate that the optimal performance of the system is achieved when the input noise power equals the quantization noise power, leading to an excellent combination of sampling rate and resolution. The maximum output signal-to-noise ratio is attained at this point.
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