一种基于统计的流水线ADC数字后台校准方法
A Statistical-Based Digital Background Calibration for Pipelined ADC
-
摘要: 高精度流水线ADC的设计需要校准技术来提高其转换精度.基于统计的数字后台校准方法无需校准信号,直接通过对输出的统计得到误差值的大小,将其从数字输出中移除从而消除了ADC输出非线性.将该校准方法应用于14 bit流水线ADC中,仿真结果表明校准后信噪失真比SNR为76.9 dB,无杂散动态范围SFDR为73.9 dB,有效精度ENOB从9 bit 提高到12.5 bit.Abstract: Pipelined ADCs with high resolution need calibration technique to increase their conversion precision. The statistical-based digital background calibration technique presented here calculates the output error via statistic analysis, and then the error is subtracted from the ADC output. With this calibration architecture used in a 14-bit pipelined ADC, the simulation results show that after calibration the SNR is 76.9 dB, SFDR is 73.9 dB, and the EN0B is improved from 9 bit to 12.5 bit.
下载:
