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Analysis and mathematical modelling of charge injection effect for efficient performance of CMOS imagers and CDS circuit

机译:CMOS成像仪和CDS电路有效性能的电荷注入效果的分析与数学建模

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Mathematical modelling of non-linearity due to charge injection phenomenon with variation in desired characteristics of complementary metal oxide semiconductor (CMOS) image sensor (CIS) and correlated double sampling (CDS) circuits is presented. Existing suppression strategies of charge injection effect for CIS and CDS circuits lack in accuracy because of the absence of knowledge of its effect with variation in major device parameters related to switching transistors viz. width (W), length (L), sense node capacitance (C-pd) and photon current (I-ph). Therefore, variations in these parameters under the effect of charge injection have been experimentally studied. Based on the outcomes, it can be concluded that four-parameter logistic regression symmetrical sigmoid function is the best fit for the non-linearity introduced. Also, the devised mathematical model could be utilised as an activation function to train the biological neurons in CIS centred biomedical applications. A brief illustration of the same has been included for electrical stimulation of retinal cells. Further, the higher values of I-ph, C-pd and scaling of switching transistors as W-min and L > L-min can prove effective in reducing the non-linearity. Contrary to previous studies, the higher value of C-pd utilising the normal photodiode found suitable for charge injection suppression in CIS.
机译:提出了由于互补金属氧化物半导体(CMOS)图像传感器(CIS)和相关的双采样(CDS)电路的期望特性的电荷注入现象引起的非线性的数学建模。 CIS和CDS电路的充电注入效果现有的抑制策略缺乏准确性,因为没有关于与切换晶体管viz相关的主要器件参数的变化的影响。宽度(W),长度(L),感测节点电容(C-PD)和光子电流(I-PH)。因此,已经通过实验研究了电荷注入效果下这些参数的变化。基于结果,可以得出结论,四参数逻辑回归对称六样函数是引入的非线性的最佳选择。而且,设计的数学模型可以用作激活功能,以培训CIS中心的生物医学应用中的生物神经元。对于视网膜细胞的电刺激,已经包括相同的简要说明。此外,作为W-min和L> L-min的切换晶体管的较高值,切换晶体管的缩放可以有效地降低非线性。与先前的研究相反,利用正常光电二极管的C-Pd的较高值适用于CIS中的电荷注射抑制。

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