基于LMS的自适应码重误差提取算法在高分辨率A/D转换器中的应用

2016 IEEE International Nanoelectronics Conference (INEC) Pub Date : 2016-05-09 DOI:10.1109/INEC.2016.7589289

Ting Li, Yuxin Wang, Yong Zhang, Zhengbo Huang

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引用次数: 1

摘要

提出了一种用于A/D转换器的基于LMS(最小均方)的自适应码重误差提取算法。该算法只需要一个正弦波输入，就可以利用模数转换器的数字输出提取模数转换器的每个位权误差。将自适应权重误差提取算法应用于一个18位ADC，测试结果表明，利用提取的权重误差对ADC进行校准后，信噪比提高了17.4dB, SFDR提高了18.4 dB。

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LMS based adaptive bit weights error extraction algorithm used in high resolution A/D converters

A LMS (Least Mean Square) based adaptive bit weights error extraction algorithm used in A/D converters is presented in this paper. Only a sine wave input is needed, each bit weight error of the A/D converter (ADC) can be extracted by the presented algorithm by using the digital output of the ADC. The adaptive bit weights error extraction algorithm is used in an 18-bit ADC, the tested results show that, the SNR is improved by 17.4dB and the SFDR is improved by 18.4 dB after the ADC is calibrated by the extracted bit weights error.

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2016 IEEE International Nanoelectronics Conference (INEC)

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