A new digital background correction algorithm with non-precision calibration signals for pipelined ADCs

B. Zeinali, M. Yavari
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引用次数: 3

Abstract

A new digital background calibration algorithm for pipelined analog-to-digital converters is proposed in this paper. It is based on error estimation with non-precision calibration signals for foreground correction and a modified split structure for converting the foreground structure to the background one. This architecture allows improving the calibration signals accuracy contrarily to linear gain error coefficient, while the modified split structure does not need matching between the two channels. The presented algorithm is investigated in system level in MATLAB for a 12-bit pipelined ADC. It achieves an improvement equal to 36.5 dB and 44.5 dB for SNDR and SFDR, respectively where the input signal frequency is 39 MHz with a 100 MHz sampling frequency.
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基于非精密校正信号的流水线adc数字背景校正算法
提出了一种新的流水线模数转换器的数字背景标定算法。该方法基于非精度校准信号的误差估计进行前景校正,并采用改进的分割结构将前景结构转换为背景结构。与线性增益误差系数相比,该结构可以提高校准信号的精度,而改进的分路结构则不需要在两个通道之间进行匹配。在MATLAB中对该算法进行了系统级的研究。当输入信号频率为39 MHz,采样频率为100 MHz时,SNDR和SFDR分别实现了36.5 dB和44.5 dB的改进。
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