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Design of a signal processing algorithm for error-minimized optical triangulation displacement sensors

机译:误差最小化光学三角测量位移传感器的信号处理算法设计

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摘要

Optical triangulation displacement sensors are widely used for their non-contact measurement characteristic, sub-micrometre order resolution, simple structure and long operation range. However, errors originating from surface inclination, speckle effect, light source fluctuation and detector noise restrict the wider use. In order to minimize these errors, a structure for an optical triangulation displacement sensor, which is composed of an incoherent source and a linear CCD (charge coupled device), has been proposed. However, using a linear CCD causes several problems in signal processing. Because CCDs consist of spatially discrete pixels, it is impossible to detect the peak position movement within a pixel. This is an inherently severe problem of CCDs. Therefore, a new approach is needed. In this paper, we propose an adequate signal processing algorithm to overcome the limited resolution problem of a CCD for the proposed sensor structure. The signal processing algorithm is composed of a pre-processing algorithm and a modified cross correlation algorithm. With the help of the proposed algorithm, the limited resolution problem of the CCD can be solved.
机译:光学三角测量位移传感器因其非接触式测量特性,亚微米级分辨率,结构简单和工作范围长而被广泛使用。但是,由于表面倾斜,斑点效应,光源波动和检测器噪声引起的误差限制了更广泛的使用。为了使这些误差最小化,已经提出了由非相干源和线性CCD(电荷耦合器件)组成的光学三角测量位移传感器的结构。然而,使用线性CCD在信号处理中引起一些问题。由于CCD由空间离散的像素组成,因此无法检测像素内的峰值位置移动。这是CCD固有的严重问题。因此,需要一种新的方法。在本文中,我们提出了一种适当的信号处理算法来克服所提出的传感器结构的CCD分辨率有限的问题。信号处理算法由预处理算法和改进的互相关算法组成。借助所提出的算法,可以解决CCD分辨率有限的问题。

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