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Asymmetric Polarization-based Frequency Shifting Interferometer for Microelectronics

机译:基于非对称极化的微电子移频干涉仪

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Frequency Scanning Interferometry (FSI) generally results in superior optical performance comparing with other 3-dimensional measuring methods as its hardware structure is fixed in operation and only the light frequency is scanned in a specific spectral band without vertical scanning of the target surface or the objective lens. However, it still suffers from optical noise due to polarization characteristic of target surfaces and relatively long processing time due to the number of images acquired in frequency scanning phase. First, a Polarization-based Frequency Scanning Interferometry (PFSI) is proposed for optical noise robustness. It consists of tunable laser for light source, λ/4 plate in front of reference mirror, λ /4 plate in front of target object, polarizing beam splitter, polarizer in front of image sensor, polarizer in front of the fiber coupled light source, λ/2 plate between PBS and polarizer of the light source. Using the proposed system, we can solve the problem of fringe image with low contrast by using polarization technique. Also, we can control light distribution of object beam and reference beam. Second the signal processing acceleration method is proposed for PFSI, based on parallel processing architecture, which consists of parallel processing hardware and software such as Graphic Processing Unit (GPU) and Compute Unified Device Architecture (CUDA). Finally, the proposed system is evaluated in terms of accuracy and processing speed through a series of experiment and the obtained results show the effectiveness of the proposed system and method.
机译:与其他3维测量方法相比,频率扫描干涉术(FSI)通常可提供出色的光学性能,因为其硬件结构在操作中是固定的,并且仅在特定光谱带中扫描光频率,而无需垂直扫描目标表面或物镜镜片。然而,由于目标表面的偏振特性以及由于在频率扫描阶段获取的图像数量而导致的处理时间相对较长,因此仍然遭受光学噪声的困扰。首先,提出了一种基于偏振的频率扫描干涉仪(PFSI),以提高光学噪声的鲁棒性。它由用于光源的可调谐激光器,参考镜前面的λ/ 4板,目标物体前面的λ/ 4板,偏振分束器,图像传感器前面的偏振器,光纤耦合光源前面的偏振器, PBS和光源的偏振片之间的λ/ 2板。使用所提出的系统,我们可以通过偏振技术解决低对比度条纹图像的问题。同样,我们可以控制物光束和参考光束的光分布。其次,提出了一种基于并行处理架构的PFSI信号处理加速方法,该方法包括图形处理单元(GPU)和计算统一设备架构(CUDA)等并行处理硬件和软件。最后,通过一系列实验对所提出的系统在准确性和处理速度上进行了评估,所得结果表明了所提出系统和方法的有效性。

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