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A 1/f noise optimized correlated multiple sampling technique for CMOS image sensor
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  • liu yalei,
  • Jiangtao Xu,
  • Wanbin Zha,
  • Kaiming Nie
liu yalei
Tianjin University School of Microelectronics
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Jiangtao Xu
Tianjin University School of Microelectronics

Corresponding Author:xujiangtao@tju.edu.cn

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Wanbin Zha
Tianjin University School of Microelectronics
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Kaiming Nie
Tianjin University School of Microelectronics
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Abstract

Summary: This paper proposes a 1/f noise optimized correlated multiple sampling (NOCMS) technique based on differentiated sampling weights for CMOS image sensor. Transfer functions of standard CMS and NOCMS for analyzing the suppression effect of random noise respectively are derived based on the Fourier Transform theory. NOCMS shows a dramatic advantage in the suppression of 1/f noise. For implementing NOCMS, the ramp generator provides multiple sets of ramps with different slopes to quantize the reset and signal voltages. Sampling weights are increased with the decrease of ramp slopes. The last reset and first signal values are weighted more due to their potentially higher correlations. Simulation results under 110nm CMOS technology illustrate that the ADC achieves DNL of −0.80/+0.70LSB and INL of −0.70/+0.90LSB after the NOCMS operation. The input-referred random noise is 142.9µV rms under standard CMS and 120.9µV rms under NOCMS when the number of samples equals 8. The noise reduction effect is improved by 15%. NOCMS makes it possible to further reduce 1/f noise of CMOS image sensor.
11 May 2023Submitted to International Journal of Circuit Theory and Applications
15 May 2023Review(s) Completed, Editorial Evaluation Pending
15 May 2023Submission Checks Completed
15 May 2023Assigned to Editor
15 May 2023Reviewer(s) Assigned
25 May 2023Editorial Decision: Revise Minor
29 May 20231st Revision Received
31 May 2023Submission Checks Completed
31 May 2023Assigned to Editor
31 May 2023Review(s) Completed, Editorial Evaluation Pending
01 Jun 2023Reviewer(s) Assigned
10 Jun 2023Editorial Decision: Accept