A digital blind background calibration algorithm for pipelined ADC

Shengjing Li, Weitao Li, Fule Li, Zhihua Wang, Chun Zhang
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引用次数: 1

Abstract

This work presents a blind background calibration algorithm for correcting inter-stage gain error and capacitor mismatches in pipelined ADC. Based on the analysis of the density of specific output codes, the algorithm stores the information of the codes and needs only 80 registers. And there is no need to modify the analog circuits, which simplifies the design. Besides, since there is no multiplication or division in the digital logic, the algorithm can be implemented with a low hardware overhead, which lowers the power dissipation. For verification, a 14-bit 150MS/s ADC is fabricated in 130nm CMOS process. At 15.5MHz input signal, SDNR/SFDR improved from 66.8dB/78.57dBc to 69.7dB/87.3dBc and INL dropped from 8LSB to 3LSB after calibration.
一种用于流水线ADC的数字盲背景校正算法
本文提出了一种用于校正流水线ADC级间增益误差和电容失配的盲背景校正算法。基于对特定输出码密度的分析,该算法存储了码的信息,只需要80个寄存器。并且不需要修改模拟电路,简化了设计。此外,由于数字逻辑中没有乘法和除法,因此该算法可以以较低的硬件开销实现,从而降低了功耗。为了验证,采用130nm CMOS工艺制作了一个14位150MS/s的ADC。在15.5MHz输入信号下,校正后的SDNR/SFDR从66.8dB/78.57dBc提高到69.7dB/87.3dBc, INL从8LSB下降到3LSB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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