Exploiting Smallest Error to Calibrate Non-Linearity in SAR Adcs
Autor: | Hadi Heidari, Quanyuan Feng, Haiding Sun, Kelin Zhang, Hua Fan, Jingtao Li, Diao Xiaopeng, Lin Lishuang |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Spurious-free dynamic range Differential nonlinearity General Computer Science successive approximation register (SAR) ADC 02 engineering and technology Root mean square 020901 industrial engineering & automation Least significant bit Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering General Materials Science Hardware_REGISTER-TRANSFER-LEVELIMPLEMENTATION Mathematics capacitor mismatch calibration 020208 electrical & electronic engineering smart sensor General Engineering Linearity Successive approximation ADC Integral nonlinearity Shaping lcsh:Electrical engineering. Electronics. Nuclear engineering Analog-to-digital converter lcsh:TK1-9971 Algorithm |
Zdroj: | IEEE Access, Vol 6, Pp 42930-42940 (2018) |
ISSN: | 2169-3536 |
DOI: | 10.1109/access.2018.2852729 |
Popis: | This paper presents a statistics-optimized organization 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 a 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 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 optimization and strategy optimization, the performance boosting on the SFDR can be effectively achieved. Such a great improvement on the resolution of the ADC only requires an off-line pre-processing digital part. |
Databáze: | OpenAIRE |
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