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Four innovative calibration algorithms for capacitive mismatch in 18-bit redundant split SAR ADC

机译:用于18位冗余拆分SAR ADC的四种创新校准算法

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Four calibration algorithms based on the order statistics about capacitive mismatch are proposed for successive approximation register (SAR) analog-to-digital converter (ADC). An 18-bit split capacitive SAR ADC architecture with redundant bits was used to verify the four calibration algorithms proposed. The main dynamic parameters of the SAR ADC were simulated in MATLAB by 500 Monte-Carlo runs with a standard deviation of 0.1% (sigma(0)/C-0 = 0.001). And the simulation results of sorting and regrouping method II (SRGII) show that a 21.64-dB enhancement of spurious-free dynamic range (SFDR) and a 3.33-bit improvement of effective number of bits (ENOB) have achieved respectively, whereas the simulation results of sorting and re-exchanging method I (SREI) show that a 21.64-dB enhancement of SFDR and a 3.34-bit improvement of ENOB have achieved, respectively
机译:提出了一种基于关于电容错配的顺序统计的四个校准算法,用于连续近似寄存器(SAR)模数转换器(ADC)。使用具有冗余比特的18位分体式SAR ADC架构用于验证所提出的四种校准算法。 SAR ADC的主要动态参数在MATLAB中模拟500蒙特卡洛,标准偏差为0.1%(SIGMA(0)/ C-0 = 0.001)。分类和重新组合方法II(SRGII)的仿真结果表明,分别实现了21.64dB的无尺寸动态范围(SFDR)和3.33位提高了有效数量(ENOB)的3.33位提高,而模拟分类和重新交换方法I(Srei)表明,SFDR的21.64 dB增强分别实现了eNOB的3.34位改善

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