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An LMS-based adaptive digital calibration algorithm for CMOS pipelined analog-to-digital converters

机译:CMOS流水线模数转换器的基于LMS的自适应数字校准算法

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In order to reduce the design difficulties, the input sample-and-hold amplifier (SHA) is often removed in the nested background calibration of the CMOS pipelined analog-to-digital converters (ADC). The system uses a dual-channel LMS adaptive digital background calibration algorithm, and the reference ADC was calibrated in the foreground. Without the input SHA, the sampling-time error between the two channels is inevitable, requiring a new timing compensation block to be added to the digital background calibration algorithm. Simulations show that with the proposed method, the timing error is greatly reduced, and the tradeoffs between accuracy and power dissipation are relaxed.
机译:为了减少设计难度,经常在CMOS流水线模数转换器(ADC)的嵌套背景校准中删除输入采样保持放大器(SHA)。该系统使用双通道LMS自适应数字背景校准算法,并且参考ADC在前台进行了校准。如果没有输入SHA,则两个通道之间的采样时间误差是不可避免的,需要在数字背景校准算法中添加新的时序补偿模块。仿真结果表明,该方法大大降低了时序误差,并降低了精度与功耗之间的权衡。

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