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Digital Calibration of Elements Mismatch in Multirate Predictive SAR ADCs

机译:多型预测性SAR ADC中元素中元素不匹配的数字校准

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This paper presents a multirate predictive successive approximation register (SAR) analog-to-digital converter (ADC). The main objective is to introduce digital frameworks for resolving the weaknesses of the previous predictive schemes in the context of the SAR ADC. The proposed SAR ADC compensates for the capacitive element mismatches, extends the input signal frequency using an adaptive digital predictive machine (ADPM), and relaxes the speed requirement through multirate implementation of the ADPM. As a consequence, the achievable sampling-rate can also be improved by optimizing the capacitors according to the thermal noise requirement. Behavioral simulation results, based on the Monte Carlo method, are provided for a 12-bit SAR ADC to verify the usefulness of the proposed approach. The simulation results indicate that the means of the spurious-free dynamic range (SFDR) and the signal-to-noise and distortion ratio (SNDR) are 82.3 and 69.1 dB, respectively.
机译:本文介绍了多型预测近似寄存器(SAR)模数转换器(ADC)。主要目标是引入数字框架,用于解决SAR ADC的背景下先前预测方案的弱点。所提出的SAR ADC补偿电容元件不匹配,使用自适应数字预测机(ADPM)扩展输入信号频率,并通过ADPM的多速率实现放松速度要求。因此,通过根据热噪声要求优化电容器,也可以改善可实现的采样率。基于蒙特卡罗方法的行为仿真结果是为12位SAR ADC提供的,以验证所提出的方法的有用性。仿真结果表明,无尺寸的动态范围(SFDR)和信号对噪声和失真率(SNDR)的装置分别为82.3和69.1dB。

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