张章, 徐姚华, 解光军. 一种基于LMS算法的流水线ADC数字校准算法[J]. 微电子学与计算机, 2018, 35(9): 103-107.
引用本文: 张章, 徐姚华, 解光军. 一种基于LMS算法的流水线ADC数字校准算法[J]. 微电子学与计算机, 2018, 35(9): 103-107.
ZHANG Zhang, XU Yao-hua, XIE Guang-jun. A Digital Calibration Algorithm for Pipeline ADC Based on LMS Algorithm[J]. Microelectronics & Computer, 2018, 35(9): 103-107.
Citation: ZHANG Zhang, XU Yao-hua, XIE Guang-jun. A Digital Calibration Algorithm for Pipeline ADC Based on LMS Algorithm[J]. Microelectronics & Computer, 2018, 35(9): 103-107.

一种基于LMS算法的流水线ADC数字校准算法

A Digital Calibration Algorithm for Pipeline ADC Based on LMS Algorithm

  • 摘要: 文章提出了一种基于LMS算法, 自动迭代一阶三阶误差系数的后台数字校准技术.该校准技术能够有效地减小电容失配、运放有限增益等非线性因素对系统的影响, 提高系统的线性度.使用Simulink对所搭建的16位流水线ADC进行仿真, 当采样频率为100 MHz, 输入信号频率为45 MHz时, 通过校准, 流水线ADC的有效位数ENOB从9.6位提升至15.7位, 信噪比SNR由67.5 dB提升至97.6 dB, 无杂散动态范围SFDR由64.9 dB提升至110.8 dB.

     

    Abstract: This paper presents a back-end digital calibration technology, which is based on LMS algorithm and can iterates first- and third-order error coefficients automatically. The calibration technology can reduce the influence of capacitive mismatch, op amp limited gain and other nonlinear factors, and improve linearity of the system effectively. The entire digital calibration system was modeled with Simulink. The simulation results showed that the ENOB, SNR, and SFDR of the pipeline ADC with sampling rate of 100 MHz and input rate of 45 MHz were improved from 9.6 bit to 15.7 bit, 67.5 dB to 97.6 dB and 64.9 dB to 110.8 dB respectively after calibration.

     

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