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

Research output: Contribution to journalArticlepeer-review

6 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 languageEnglish (US)
Pages (from-to)42930-42940
Number of pages11
JournalIEEE Access
Volume6
DOIs
StatePublished - Jul 3 2018

Fingerprint Dive into the research topics of 'Exploiting Smallest Error to Calibrate Non-linearity in SAR ADCs'. Together they form a unique fingerprint.

Cite this