Open AccessBackground calibration based on signal‐dependent dithering for pipelined SAR ADCs exploiting noise quantiser technique
Author(s) -
Zhang Lizhen,
Wang Peng,
Huang Linlin,
Wu Jianhui
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2019.3321
Subject(s) - dither , calibration , noise (video) , computer science , signal (programming language) , signal to noise ratio (imaging) , signal processing , electronic engineering , speech recognition , noise shaping , artificial intelligence , mathematics , telecommunications , engineering , radar , statistics , image (mathematics) , programming language
A signal‐dependent dithering calibration exploiting noise quantiser (NQ) technique to correct capacitor mismatch and inter‐stage gain error in pipelined successive approximation register (SAR) ADCs is proposed. With signal‐dependent dithering injection, capacitor mismatch and gain error are extracted and subsequently calibrated as one error in the background. Besides, a novel NQ is proposed for a dithering injection only when the residue is near the threshold of the comparator, thereby allowing the injection of dithering without consuming the dynamic range. The simulation results show that the calibration can significantly improve the performance of pipelined SAR ADCs without extra hardware overhead and timing budget.