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Digital Background Calibration of Residue Amplifier Non-idealities in Pipelined ADCs

机译:流水线ADC中残差放大器非理想性的数字背景校准

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摘要

In this paper, a digital background calibration technique for pipelined analog-to-digital converters (ADCs) is presented to continuously mitigate the conversion errors arising from the residue amplifier imperfections. The introduced method indirectly measures the digitized residue errors based on a novel principle. In the proposed method, the digitized residue errors are measured through the probability distribution of the digitized residue and a two-level pseudorandom noise sequence. Behavioral simulations are provided for a 12-bit pipelined ADC architecture to show the effectiveness of the proposed technique. The simulation results show that the signal-to-noise and distortion ratio is improved from 42.94 to 72.85dB using the presented calibration technique. The required number of samples for convergence is approximately 5x10(6) clock cycles.
机译:在本文中,提出了一种用于流水线模数转换器(ADC)的数字背景校准技术,以不断减轻由于残差放大器缺陷而引起的转换误差。所介绍的方法基于一种新颖的原理间接测量了数字化残留误差。在提出的方法中,数字化残差误差是通过数字化残差的概率分布和两级伪随机噪声序列来测量的。提供了针对12位流水线ADC架构的行为仿真,以证明所提出技术的有效性。仿真结果表明,采用所提出的校准技术,信噪比和失真比从42.94dB提高到72.85dB。收敛所需的样本数约为5x10(6)个时钟周期。

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