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Equalization-Based Digital Background Calibration Technique for Pipelined ADCs

机译:基于均衡的流水线ADC数字背景校准技术

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In this paper, we present a digital background calibration technique for pipelined analog-to-digital converters (ADCs). In this scheme, the capacitor mismatch, residue gain error, and amplifier nonlinearity are measured and then corrected in digital domain. It is based on the error estimation with nonprecision calibration signals in foreground mode, and an adaptive linear prediction structure is used to convert the foreground scheme to the background one. The proposed foreground technique utilizes the LMS algorithm to estimate the error coefficients without needing high-accuracy calibration signals. Several simulation results in the context of a 12-b 100-MS/s pipelined ADC are provided to verify the usefulness of the proposed calibration technique. Circuit-level simulation results show that the ADC achieves 28-dB signal-to-noise and distortion ratio and 41-dB spurious-free dynamic range improvement, respectively, compared with the noncalibrated ADC.
机译:在本文中,我们介绍了用于流水线模数转换器(ADC)的数字背景校准技术。在该方案中,测量电容器失配,残留增益误差和放大器非线性,然后在数字域中进行校正。它基于前景模式中非精确校准信号的误差估计,并采用自适应线性预测结构将前景方案转换为背景方案。提出的前景技术利用LMS算法来估计误差系数,而无需高精度的校准信号。提供了一些12-b 100-MS / s流水线ADC的仿真结果,以验证所提出的校准技术的有效性。电路级仿真结果表明,与未经校准的ADC相比,ADC分别实现了28dB的信噪比和失真比以及41dB的无杂散动态范围改善。

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