基于统计的时间交错adc背景时序偏差校正算法

2019 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC) Pub Date : 2019-06-12 DOI:10.1109/EDSSC.2019.8754134

Yufan Feng, Weixin Gai, Xiaole Cui

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引用次数: 1

摘要

提出了一种改进的基于统计量的背景校正算法，以数字混频的方式估计和补偿时间交错adc的时序偏差。通过计算每个子ADC与附加校准ADC之间的相互关系来校正失匹配引起的误差信号。与传统的基于统计的方法容易受到量化噪声的影响不同，补充信道的输出在数据处理过程中是延迟的。8位2-GS/s四通道时间交错ADC行为模型的仿真结果表明，该方法是有效的。

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A Statistics-Based Background Timing Skew Calibration Algorithm for Time-Interleaved ADCs

A modified statistics-based background calibration algorithm is proposed, which estimates and compensates errors due to the timing skew of time-interleaved ADCs in a digital-mixing way. The mismatch-induced error signal is corrected by calculating the cross-correlation between each sub-ADC and an additional calibration ADC. The output of the supplementary channel is delayed during data processing, different from the conventional statistics-based method that is susceptible to quantization noise. Simulation results of an 8-bit 2-GS/s four-channel time-interleaved ADC behavioral model show that the proposed method is effective and efficient.

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来源期刊

2019 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC)

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