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Methods for predicting dark-current distribution of CMOS image sensor in radiation environment

机译:辐射环境下CMOS图像传感器暗电流分布的预测方法

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摘要

Nowadays, CMOS image sensors are more and more used in a wide variety of applications, especially in satellite systems, where they are exposed to space radiation environment. In-orbit sensors suffer from radiation induced dark-current degradation that the dark-current mean value and non-uniformity increase, which results in the signal-to-noise-ratio decrease affecting the image quality. Based on the principle of radiation effects on semiconductor devices, this paper analyzes the ionizing and displacement damage effects in CMOS image sensors due to γ-rays and protons radiation, and proposes a method for dark-current distribution modeling in the mixed radiation environment. Simulation results proves that the proposed method is well adapted to predict the dark-current distributions for a device which is exposed to both γ-rays and protons radiation at the same time.
机译:如今,CMOS图像传感器越来越广泛地用于各种应用中,尤其是在暴露于太空辐射环境的卫星系统中。在轨传感器受辐射引起的暗电流退化的影响,暗电流平均值和不均匀性增加,导致信噪比降低,从而影响图像质量。根据辐射对半导体器件的影响原理,分析了γ射线和质子辐射对CMOS图像传感器的电离和位移损伤效应,提出了一种混合辐射环境下暗电流分布建模的方法。仿真结果表明,该方法非常适合预测同时暴露于γ射线和质子辐射的器件的暗电流分布。

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