NDLI: An in-pixel equalizer with kTC noise cancellation and FPN reduction for time-of-flight CMOS image sensor

Content Provider	IEEE Xplore Digital Library
Author	Zheng-Wei Huang Chin-Fong Chiu Chih-Cheng Hsieh
Copyright Year	2015
Description	Author affiliation: Nat. Chip Implementation Center, Nat. Appl. Res. Labs., Hsinchu, Taiwan (Chin-Fong Chiu) \|\| Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Zheng-Wei Huang; Chih-Cheng Hsieh)
Abstract	Conventional TOF depth image sensors have suffered from the reset $k_{B}TC$ noise of required accumulation readout of multiple-phase signal without feasible correlated double sampling (CDS) operation. This paper presents a new TOF pixel circuit with $k_{B}TC$ reset noise cancellation by proposed equalized reset (ER) operation. Accompanied with the differential operation of phase modulation readout for depth calculation, ER pixel effective cancel out the reset noise and reduce fixed pattern noise as well. For background suppression, sub-integrating (SI) operation is also proposed to extend the dynamic range for various applications. A prototype chip with 64×128 pixel array and 3.3V operation has been designed and fabricated in 0.13μm CMOS image sensor (CIS) technology. The pixel pitch is 10×10 $um^{2}$ with a fill factor of 24.9%; and the chip size is 2.5mm×2.2mm. The measurement result shows 67% reduction of pixel fixed-pattern-noise (FPN), 300uV cancellation of kTC noise, and 23.1dB SNR improvement compared to the counterpart without ER and SI operation.
Starting Page	1
Ending Page	4
File Size	871324
Page Count	4
File Format	PDF
ISBN	9781479962754
DOI	10.1109/VLSI-DAT.2015.7114520
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-27
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Erbium Silicon Noise cancellation Signal to noise ratio Image sensors Dynamic range 3-D pixel CMOS image sensor Time-of-flight(TOF) depth image
Content Type	Text
Resource Type	Article

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