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A novel method for screening OCD using low-frequency noise measurement and parameters fitting

机译:一种利用低频噪声测量和参数拟合筛选OCD的新方法

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In this paper the theoretical analysis of low frequency noise sources in Optoelectronic Coupled Devices (OCDs) is given and the relation between typical defects and low frequency noise that consists of 1/f, generation-recombination (G-R) and burst noise is described. A novel measurement system for low frequency noise is introduced here, and nV-level measurement precision can be achieved with the typical low-frequency noise measuring system, which is based on virtual instrumentation. According to statistical and experimental results, a threshold to screen potential devices with excess noise is derived, which has been proved theoretically that the screening criterion is reasonable. Contrasting the former screening criterion, some familiar noise parameters of devices are adopted to establish a novel screening criterion in this paper. At last, the Levenberg-Marquardt regression algorithm is used for the low-frequency noise parameters fitting. The noise parameters are very useful for analyzing the defects.
机译:本文对光电耦合器件(OCD)中的低频噪声源进行了理论分析,并描述了典型缺​​陷与低频噪声之间的关系,该噪声由1 / f,生成重组(G-R)和突发噪声组成。这里介绍了一种新颖的低频噪声测量系统,利用基于虚拟仪器的典型低频噪声测量系统可以实现nV级测量精度。根据统计和实验结果,推导了一个阈值来筛选具有过量噪声的潜在器件,这在理论上证明了筛选标准是合理的。与以前的筛选标准相反,本文采用了一些熟悉的设备噪声参数来建立新的筛选标准。最后,采用Levenberg-Marquardt回归算法进行低频噪声参数拟合。噪声参数对于分析缺陷非常有用。

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