Digital Calibration of Elements Mismatch in Multirate Predictive SAR ADCs
Digital Calibration of Elements Mismatch in Multirate Predictive SAR ADCs
复制标题
多速率预测 SAR ADC 中元件失配的数字校准
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
S. Mirabbasi
中科院分区：
文献类型：
--
作者：
H. Mafi;M. Yargholi;M. Yavari;S. Mirabbasi
提出了一种多速率预测逐次逼近寄存器(SAR)模数转换器。主要目标是引入数字框架，以解决以前在SAR ADC范围内预测方案的弱点。所提出的合成孔径雷达ADC补偿电容元件失配，使用自适应数字预测机(ADPM)扩展输入信号频率，并通过ADPM的多速率实现来放宽对速度的要求。因此，还可以根据热噪声要求对电容进行优化，从而提高可实现的采样率。以12位合成孔径雷达模数转换器为例，给出了基于蒙特卡罗方法的行为仿真结果，验证了该方法的有效性。仿真结果表明，该方法的无杂散动态范围(SFDR)和信噪比(SNDR)平均值分别为82.3和69.1分贝。
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.