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。
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.
作者
郑彦泽
周乃馨
赵贻玖
孙思成
梅思涛
Zheng Yanze;Zhou Naixin;Zhao Yijiu;Sun Sicheng;Mei Sitao(School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;Shenzhen Institute for Advanced Study,UESTC,Shenzhen 518110,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2023年第4期18-26,共9页
Journal of Electronic Measurement and Instrumentation
基金
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。
