Background LMS Calibration Algorithm Realization for SAR-ADC

In order to minimize the impact of SAR-ADC capacitance weight mismatch on conversion accuracy, a digital calibration algorithm applied to SAR-ADC is implemented based on sub-binary technology and perturbation technology. A Subradix-2 SAR-ADC model was established with Simulink. The LMS adaptive cali...

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Bibliographic Details
Published in2021 6th International Conference on Integrated Circuits and Microsystems (ICICM) pp. 142 - 146
Main Authors Wei, Liu, Shangshang, Guo, Xiao, Wang, Shiguang, Shang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2021
Subjects
Adaptation models
Calibration
Capacitance
capacitance mismatch
FPGA
LMS
Micromechanical devices
Perturbation methods
SAR-ADC
Software algorithms
Software packages
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DOI10.1109/ICICM54364.2021.9660322

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Summary:In order to minimize the impact of SAR-ADC capacitance weight mismatch on conversion accuracy, a digital calibration algorithm applied to SAR-ADC is implemented based on sub-binary technology and perturbation technology. A Subradix-2 SAR-ADC model was established with Simulink. The LMS adaptive calibration algorithm was used to calibrate the output iteratively, and the algorithm was implemented on FPGA Xilinx Spartan-6 device. The results show that when the input signal frequency is 239.19kHz and the sampling frequency is 1MS/s, the ENOB is increased from 9.57 bit to 11.78bit.
DOI:10.1109/ICICM54364.2021.9660322