Exploiting Smallest Error to Calibrate Non-linearity in SAR ADCs

Hua Fan; Jingtao Li; Quanyuan Feng; Xiaopeng Diao; Lishuang Lin; Kelin Zhang; Haiding Sun; Hadi Heidari

doi:10.1109/ACCESS.2018.2852729

Exploiting Smallest Error to Calibrate Non-linearity in SAR ADCs

Hua Fan, Jingtao Li, Quanyuan Feng, Xiaopeng Diao, Lishuang Lin, Kelin Zhang, Haiding Sun, Hadi Heidari

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

This paper presents a statistics-optimised organisation technique to achieve better element matching in Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) in smart sensor systems. We demonstrate the proposed technique ability to achieve a significant improvement of around 23 dB on Spurious Free Dynamic Range (SFDR) of the ADC than the conventional, testing with a capacitor mismatch σu = 0.2% in a 14 bit SAR ADC system. For the static performance, the max root mean square (rms) value of differential nonlinearity (DNL) reduces from 1.63 to 0.20 LSB and the max rms value of integral nonlinearity (INL) reduces from 2.10 to 0.21 LSB. In addition, it is demonstrated that by applying grouping optimisation and strategy optimisation, the performance boosting on SFDR can be effectively achieved. Such great improvement on the resolution of the ADC only requires an off-line pre-processing digital part.

Original language	English (US)
Pages (from-to)	42930-42940
Number of pages	11
Journal	IEEE Access
Volume	6
DOIs	https://doi.org/10.1109/ACCESS.2018.2852729
State	Published - Jul 3 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The work of Hua Fan was supported by the National Natural Science Foundation of China (NSFC) under Grant 61771111, as well as supported by China Postdoctoral Science Foundation under grant 2017M612940 and Special Foundation of Sichuan Provincial Postdoctoral Science Foundation. The work of Quanyuan Feng was supported by the National Natural Science Foundation of China (NSFC) under Grant 61531016, supported by the project of Science and Technology Support Program of Sichuan Province under Grant 2018GZ0139, and in part by the Sichuan Provincial Science and Technology Important Projects under Grant 2017GZ0110.

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10.1109/ACCESS.2018.2852729

https://repository.kaust.edu.sa/bitstream/10754/628363/1/08402222.pdf

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@article{887eb3bfca614838bff5979b8369cb95,

title = "Exploiting Smallest Error to Calibrate Non-linearity in SAR ADCs",

abstract = "This paper presents a statistics-optimised organisation technique to achieve better element matching in Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) in smart sensor systems. We demonstrate the proposed technique ability to achieve a significant improvement of around 23 dB on Spurious Free Dynamic Range (SFDR) of the ADC than the conventional, testing with a capacitor mismatch σu = 0.2% in a 14 bit SAR ADC system. For the static performance, the max root mean square (rms) value of differential nonlinearity (DNL) reduces from 1.63 to 0.20 LSB and the max rms value of integral nonlinearity (INL) reduces from 2.10 to 0.21 LSB. In addition, it is demonstrated that by applying grouping optimisation and strategy optimisation, the performance boosting on SFDR can be effectively achieved. Such great improvement on the resolution of the ADC only requires an off-line pre-processing digital part.",

author = "Hua Fan and Jingtao Li and Quanyuan Feng and Xiaopeng Diao and Lishuang Lin and Kelin Zhang and Haiding Sun and Hadi Heidari",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The work of Hua Fan was supported by the National Natural Science Foundation of China (NSFC) under Grant 61771111, as well as supported by China Postdoctoral Science Foundation under grant 2017M612940 and Special Foundation of Sichuan Provincial Postdoctoral Science Foundation. The work of Quanyuan Feng was supported by the National Natural Science Foundation of China (NSFC) under Grant 61531016, supported by the project of Science and Technology Support Program of Sichuan Province under Grant 2018GZ0139, and in part by the Sichuan Provincial Science and Technology Important Projects under Grant 2017GZ0110.",

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AU - Fan, Hua

AU - Li, Jingtao

AU - Feng, Quanyuan

AU - Diao, Xiaopeng

AU - Lin, Lishuang

AU - Zhang, Kelin

AU - Sun, Haiding

AU - Heidari, Hadi

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The work of Hua Fan was supported by the National Natural Science Foundation of China (NSFC) under Grant 61771111, as well as supported by China Postdoctoral Science Foundation under grant 2017M612940 and Special Foundation of Sichuan Provincial Postdoctoral Science Foundation. The work of Quanyuan Feng was supported by the National Natural Science Foundation of China (NSFC) under Grant 61531016, supported by the project of Science and Technology Support Program of Sichuan Province under Grant 2018GZ0139, and in part by the Sichuan Provincial Science and Technology Important Projects under Grant 2017GZ0110.

PY - 2018/7/3

Y1 - 2018/7/3

N2 - This paper presents a statistics-optimised organisation technique to achieve better element matching in Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) in smart sensor systems. We demonstrate the proposed technique ability to achieve a significant improvement of around 23 dB on Spurious Free Dynamic Range (SFDR) of the ADC than the conventional, testing with a capacitor mismatch σu = 0.2% in a 14 bit SAR ADC system. For the static performance, the max root mean square (rms) value of differential nonlinearity (DNL) reduces from 1.63 to 0.20 LSB and the max rms value of integral nonlinearity (INL) reduces from 2.10 to 0.21 LSB. In addition, it is demonstrated that by applying grouping optimisation and strategy optimisation, the performance boosting on SFDR can be effectively achieved. Such great improvement on the resolution of the ADC only requires an off-line pre-processing digital part.

AB - This paper presents a statistics-optimised organisation technique to achieve better element matching in Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) in smart sensor systems. We demonstrate the proposed technique ability to achieve a significant improvement of around 23 dB on Spurious Free Dynamic Range (SFDR) of the ADC than the conventional, testing with a capacitor mismatch σu = 0.2% in a 14 bit SAR ADC system. For the static performance, the max root mean square (rms) value of differential nonlinearity (DNL) reduces from 1.63 to 0.20 LSB and the max rms value of integral nonlinearity (INL) reduces from 2.10 to 0.21 LSB. In addition, it is demonstrated that by applying grouping optimisation and strategy optimisation, the performance boosting on SFDR can be effectively achieved. Such great improvement on the resolution of the ADC only requires an off-line pre-processing digital part.

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JO - IEEE Access

JF - IEEE Access

ER -

Exploiting Smallest Error to Calibrate Non-linearity in SAR ADCs

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