LMS-based digital background mismatch calibration technique for SAR ADC
This paper proposes a digital background calibration technique based on the Least Mean Square (LMS) algorithm to suppress non-linearity in the SAR ADC. The calibration scheme does not significantly increase the complexity or scale of analog circuits. To evaluate the effectiveness of the proposed cal...
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| Published in | Microelectronics Vol. 136; p. 105767 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.06.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1879-2391 |
| DOI | 10.1016/j.mejo.2023.105767 |
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| Abstract | This paper proposes a digital background calibration technique based on the Least Mean Square (LMS) algorithm to suppress non-linearity in the SAR ADC. The calibration scheme does not significantly increase the complexity or scale of analog circuits. To evaluate the effectiveness of the proposed calibration scheme, we conducted 200-run Monte-Carlo simulations of a multi-segmented 20-bit SAR ADC using MATLAB. The simulation results demonstrate that the average values of SFDR and THD significantly improve from 60.9 dB and −59.2 dB–130 dB and −129.5 dB, respectively, under 1% capacitor mismatch. It is indicated that the proposed calibration scheme can significantly enhance the linearity of the SAR ADC. |
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| AbstractList | This paper proposes a digital background calibration technique based on the Least Mean Square (LMS) algorithm to suppress non-linearity in the SAR ADC. The calibration scheme does not significantly increase the complexity or scale of analog circuits. To evaluate the effectiveness of the proposed calibration scheme, we conducted 200-run Monte-Carlo simulations of a multi-segmented 20-bit SAR ADC using MATLAB. The simulation results demonstrate that the average values of SFDR and THD significantly improve from 60.9 dB and −59.2 dB–130 dB and −129.5 dB, respectively, under 1% capacitor mismatch. It is indicated that the proposed calibration scheme can significantly enhance the linearity of the SAR ADC. |
| ArticleNumber | 105767 |
| Author | Wan, Jing Song, Shida Liang, Yuhua |
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| Cites_doi | 10.1109/TCSI.2023.3247434 10.1109/TCSI.2016.2612692 10.1016/j.mejo.2015.06.013 10.1109/TBCAS.2022.3147954 10.1109/JSEN.2018.2856103 10.1109/TCSI.2011.2123590 10.1049/iet-cds.2017.0412 10.1109/JSSC.2011.2163556 10.1016/j.mejo.2021.105113 10.1109/ASSCC.2011.6123608 |
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| References | Liang (bib5) 2023 Liu (bib13) 2010 Yi (bib4) 2022; 69 Liang (bib1) 2022; 16 Pena-Ramos, Verhelst (bib12) 2017; 64 Um (bib6) 2011 Lu (bib2) 2021; 114 Cao (bib11) 2015; 46 Chang (bib7) 2017; 64 Guan (bib8) 2018; 12 McNeill (bib9) 2011; 58 Liu, Huang, Chiu (bib10) 2011; 46 Liang (bib3) 2018; 18 Liang (10.1016/j.mejo.2023.105767_bib5) 2023 Lu (10.1016/j.mejo.2023.105767_bib2) 2021; 114 Pena-Ramos (10.1016/j.mejo.2023.105767_bib12) 2017; 64 Liu (10.1016/j.mejo.2023.105767_bib13) 2010 Chang (10.1016/j.mejo.2023.105767_bib7) 2017; 64 Liang (10.1016/j.mejo.2023.105767_bib1) 2022; 16 Um (10.1016/j.mejo.2023.105767_bib6) 2011 Cao (10.1016/j.mejo.2023.105767_bib11) 2015; 46 Liang (10.1016/j.mejo.2023.105767_bib3) 2018; 18 McNeill (10.1016/j.mejo.2023.105767_bib9) 2011; 58 Yi (10.1016/j.mejo.2023.105767_bib4) 2022; 69 Liu (10.1016/j.mejo.2023.105767_bib10) 2011; 46 Guan (10.1016/j.mejo.2023.105767_bib8) 2018; 12 |
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