A Histogram-Based Digital Background Calibration Technique for Pipelined A/D Converters

Saeedeh Yahyaee, M. Yavari
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Abstract

This paper presents a digital background calibration technique for pipelined analog-to-digital converters (ADCs) to correct the gain error due to the capacitors mismatch and finite dc gain and nonlinearity error owing to the residue amplifiers. The proposed calibration scheme corrects these errors by using the histogram-based method. To calculate the linear and nonlinear coefficients, the threshold level of sub-ADC is changed and based on specifications of residue characteristic and output histogram, the first and third order coefficients are extracted. This method does not require any calibration signal or additional analog hardware and relaxes the performance requirements of the analog building circuits. Circuit level simulation results of a 12-bit 100 MS/s pipelined ADC in a 65 nm CMOS technology show that the proposed calibration scheme improves signal-to-noise and distortion (SNDR) and spurious free dynamic range (SFDR) from 30.4 dB and 31.8 dB to 69.3 dB and 81.2 dB, respectively.
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基于直方图的流水线A/D转换器数字背景校正技术
本文提出了一种用于流水线模数转换器(adc)的数字背景校正技术,以校正由电容失配引起的增益误差、有限的直流增益和由残留放大器引起的非线性误差。提出的校正方案利用基于直方图的方法对这些误差进行了校正。为了计算线性和非线性系数,改变子adc的阈值水平,并根据残差特征和输出直方图的规格提取一阶和三阶系数。该方法不需要任何校准信号或额外的模拟硬件,并且放宽了模拟建筑电路的性能要求。基于65 nm CMOS技术的12位100 MS/s流水线ADC的电路级仿真结果表明,该校准方案将信噪比和失真(SNDR)以及无杂散动态范围(SFDR)分别从30.4 dB和31.8 dB提高到69.3 dB和81.2 dB。
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