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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

机译:使用片上时间常数提取方法对1.1μm像素8.3 MP CMOS图像传感器中的随机电报噪声进行统计分析

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摘要

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.
机译:本文对采用45 nm背面照明(BSI)技术制造的1.1μm间距,8.3 Mpixel CMOS图像传感器(CIS)的随机电报噪声(RTN)进行了研究。噪声分解方案用于查明噪声源。随机噪声(RN)分布的长尾巴直接来自像素源跟随器(SF)的RTN。根据观察到的RTN直方图峰值,将整个8.3 Mpixels分为四类。得出了将RTN表示为相关双采样(CDS)的两个阶段之间的时间差的函数的理论公式,并通过测量数据进行了验证。开发了片上时间常数提取方法并将其应用于RTN分析。研究了读出电路带宽对RTN直方图的稳定比的影响,并在使用RTN行为模型的仿真中成功解决了这一问题。

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