Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method

A study of the random telegraph noise (RTN) of a 1.1 μm pitch, 8.3 Mpixel CMOS image sensor (CIS) fabricated in a 45 nm backside-illumination (BSI) technology is presented in this paper. A noise decomposition scheme is used to pinpoint the noise source. The long tail of the random noise (RN) distrib...

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Main Authors: Calvin Yi-Ping Chao, Honyih Tu, Thomas Meng-Hsiu Wu, Kuo-Yu Chou, Shang-Fu Yeh, Chin Yin, Chih-Lin Lee
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/12/2704
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author Calvin Yi-Ping Chao
Honyih Tu
Thomas Meng-Hsiu Wu
Kuo-Yu Chou
Shang-Fu Yeh
Chin Yin
Chih-Lin Lee
author_facet Calvin Yi-Ping Chao
Honyih Tu
Thomas Meng-Hsiu Wu
Kuo-Yu Chou
Shang-Fu Yeh
Chin Yin
Chih-Lin Lee
author_sort Calvin Yi-Ping Chao
collection DOAJ
description A study of the random telegraph noise (RTN) of a 1.1 μm pitch, 8.3 Mpixel CMOS image sensor (CIS) fabricated in a 45 nm backside-illumination (BSI) technology is presented in this paper. A noise decomposition scheme is used to pinpoint the noise source. The long tail of the random noise (RN) distribution is directly linked to the RTN from the pixel source follower (SF). The full 8.3 Mpixels are classified into four categories according to the observed RTN histogram peaks. A theoretical formula describing the RTN as a function of the time difference between the two phases of the correlated double sampling (CDS) is derived and validated by measured data. An on-chip time constant extraction method is developed and applied to the RTN analysis. The effects of readout circuit bandwidth on the settling ratios of the RTN histograms are investigated and successfully accounted for in a simulation using a RTN behavior model.
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spelling doaj.art-f461e8f2a1734245af506233cf4b56c62022-12-22T04:21:16ZengMDPI AGSensors1424-82202017-11-011712270410.3390/s17122704s17122704Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction MethodCalvin Yi-Ping Chao0Honyih Tu1Thomas Meng-Hsiu Wu2Kuo-Yu Chou3Shang-Fu Yeh4Chin Yin5Chih-Lin Lee6Taiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanTaiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanTaiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanTaiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanTaiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanTaiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanTaiwan Semiconductor Manufacturing Company, Hsinchu Science Park, Hsinchu 300, TaiwanA study of the random telegraph noise (RTN) of a 1.1 μm pitch, 8.3 Mpixel CMOS image sensor (CIS) fabricated in a 45 nm backside-illumination (BSI) technology is presented in this paper. A noise decomposition scheme is used to pinpoint the noise source. The long tail of the random noise (RN) distribution is directly linked to the RTN from the pixel source follower (SF). The full 8.3 Mpixels are classified into four categories according to the observed RTN histogram peaks. A theoretical formula describing the RTN as a function of the time difference between the two phases of the correlated double sampling (CDS) is derived and validated by measured data. An on-chip time constant extraction method is developed and applied to the RTN analysis. The effects of readout circuit bandwidth on the settling ratios of the RTN histograms are investigated and successfully accounted for in a simulation using a RTN behavior model.https://www.mdpi.com/1424-8220/17/12/2704CMOS image sensor (CIS)random telegraph noise (RTN)correlated double sampling (CDS)RTN emission and capture time constantbackside-illuminated technology (BSI)pinned photodiode (PPD)Gumbel distribution
spellingShingle Calvin Yi-Ping Chao
Honyih Tu
Thomas Meng-Hsiu Wu
Kuo-Yu Chou
Shang-Fu Yeh
Chin Yin
Chih-Lin Lee
Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method
Sensors
CMOS image sensor (CIS)
random telegraph noise (RTN)
correlated double sampling (CDS)
RTN emission and capture time constant
backside-illuminated technology (BSI)
pinned photodiode (PPD)
Gumbel distribution
title Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method
title_full Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method
title_fullStr Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method
title_full_unstemmed Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method
title_short Statistical Analysis of the Random Telegraph Noise in a 1.1 μm Pixel, 8.3 MP CMOS Image Sensor Using On-Chip Time Constant Extraction Method
title_sort statistical analysis of the random telegraph noise in a 1 1 μm pixel 8 3 mp cmos image sensor using on chip time constant extraction method
topic CMOS image sensor (CIS)
random telegraph noise (RTN)
correlated double sampling (CDS)
RTN emission and capture time constant
backside-illuminated technology (BSI)
pinned photodiode (PPD)
Gumbel distribution
url https://www.mdpi.com/1424-8220/17/12/2704
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