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A 1.9 $e^{-}$ Random Noise CMOS Image Sensor With Active Feedback Operation in Each Pixel

机译:一个在每个像素中具有有源反馈操作的1.9 $ e ^ {-} $随机噪声CMOS图像传感器

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A 1.9 $e^{-}$ random noise CMOS image sensor has been developed by applying an active feedback operation (AFO), which uses a capacitive feedback effect to floating diffusion (FD) by a gate–source capacitance of a pixel source follower (SF), in a CMOS image sensor with a lateral overflow integration capacitor (LOFIC) technology. It is described that the AFO is suitable for CMOS image sensors with LOFIC because the design of the full well capacity and the FD can be independently optimized. The AFO theory is found to be explored to a large signal voltage in detail, as well as the conventional analysis of the capacitive feedback effect of the pixel SF for a small signal voltage. A 1/4-in 5.6- $muhbox{m}$-pitch 640(H) $times$ 480(V) pixel sensor chip in a 0.18-$muhbox{m}$ two-poly-Si three-metal CMOS technology achieves about 1.7 times the sensitivity with AFO compared with the case where the feedback operation is not positively used, resulting in an input-referred conversion gain of 210 $muhbox{V}/e^{-}$ and an input-referred noise of 1.9 $e^{-}$. A high well capacity of 130 000 $e^{-}$ is also achieved.
机译:通过应用主动反馈操作(AFO)开发了一种1.9美元的随机噪声CMOS图像传感器,该有源反馈操作通过像素源跟随器的栅极-源极电容将电容性反馈效应用于浮置扩散(FD) (SF),在具有横向溢出积分电容器(LOFIC)技术的CMOS图像传感器中。描述了AFO适用于带有LOFIC的CMOS图像传感器,因为可以完全优化全阱容量和FD的设计。发现AFO理论被详细地探索到大信号电压,以及对于小信号电压像素SF的电容反馈效应的常规分析。在0.18-muhbox {m} $两多晶硅三金属CMOS技术中采用1/4英寸5.6-muhbox {m} $-pitch 640(H)$ times $ 480(V)像素传感器芯片与未积极使用反馈操作的情况相比,使用AFO可获得约1.7倍的灵敏度,从而导致输入参考转换增益为210 $ muhbox {V} / e ^ {-} $,而输入参考噪声为1.9 $ e ^ {-} $。还实现了130 000 $ e ^ {-} $的高产能。

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