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 †
نویسندگان
چکیده
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.
منابع مشابه
New Method for Analysis of image sensor to produce and evaluate the image
In this paper, a new method for evaluating CMOS image sensors based on computer modeling and analysis is introduced. Image sensors are composed of different parts, each of which has a specific effect on image quality. Circuits of image sensors can be evaluated and analyzed using circuit simulators or theoretically, but these methods cannot help to produce the final image. In order to produce th...
متن کاملImage Stitching of the Computed Radiology images Using a Pixel-Based Approach
In this paper, a method for automatic stitching of radiology images based on pixel features has been presented. In this method, according to the smooth texture of radiological images and in order to increase the number of the extracted features after quality enhancement of initial radiology images, 45 degree isotropic mask is applied to each radiology image to observe the image details. After t...
متن کاملOn-Chip Fixed-Pattern-Noise Canceling with Non-Destructive Intermediate Readout Circuitry for CMOS Active-Pixel Image Sensors
We propose a new method of canceling the fixed-pattern noise of CMOS activepixel image sensors caused by the threshold mismatch of MOS FETs in pixel circuits. This method uses with non-destructive intermediate readout circuitry. Assuming a TSMC 0.25-μm mixed-signal process, we designed a CMOS image sensor in which the canceling circuit was implemented for each column of the pixel-sensor array. ...
متن کاملCharacterization of In-Pixel Buried-Channel Source Follower with Optimized Row Selector in CMOS Image Sensors
⎯ This paper presents a CMOS image sensor with pinned-photodiode 5T active pixels which use inpixel buried channel source follower (BSF) and optimized row selector (RS). According to our previous work [1], using in-pixel BSFs can achieve significant pixel dark random noise reduction, specially for inpixel random telegraph signal (RTS) noise, but due to the positively-shifted threshold voltage o...
متن کاملA 75-ps Gated CMOS Image Sensor with Low Parasitic Light Sensitivity
In this study, a 40 × 48 pixel global shutter complementary metal-oxide-semiconductor (CMOS) image sensor with an adjustable shutter time as low as 75 ps was implemented using a 0.5-μm mixed-signal CMOS process. The implementation consisted of a continuous contact ring around each p+/n-well photodiode in the pixel array in order to apply sufficient light shielding. The parasitic light sensitivi...
متن کامل