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Novel Cross-correlation Algorithm for Reducing Noise-related Errors in Array Type Optical Triangulation Displacement Sensors

机译:用于降低阵列型光学三角型位移传感器中噪声相关误差的新型互相关算法

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Optical triangulation displacement sensors are widely used for their non-contact measurement characteristics, sub-micron order resolution, simple structure, and long operation range. However, errors originating from surface inclination, speckle effect, light source fluctuation, and detector noise limit the wider use. In order to minimize these errors, the structure for optical triangulation displacement sensors, which is composed of an incoherent source and a linear CCD, has been proposed. But using a linear CCD causes several problems in signal processing. In this paper, we propose an adequate signal processing system for the proposed structure. With the help of the proposed algorithm, the limited resolution problem of CCD can be solved.
机译:光学三角型位移传感器广泛用于其非接触式测量特性,亚微米级分辨率,简单的结构和长操作范围。然而,源自表面倾斜,散斑效果,光源波动和检测器噪声限制的错误。为了最小化这些误差,已经提出了由非连贯源和线性CCD组成的光学三角测量位移传感器的结构。但是使用线性CCD导致信号处理中的几个问题。在本文中,我们提出了一种用于所提出的结构的足够信号处理系统。借助所提出的算法,可以解决CCD的有限分辨率问题。

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