基于svd的MEMS动态测试技术

Zhangfang Hu, Chao Ji, Yuan Luo
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引用次数: 5

摘要

为了获得MEMS微结构的高分辨率测量动态参数,本文通过获取微结构运动图像序列的频闪成像技术,提出了一种基于相位相关技术和奇异值分解技术相结合的亚像素测量方法。通过相位相关的方法,将图像空间坐标变换到频域到参数空间的坐标。然后通过奇异值分解技术得到相关矩阵,利用最小二乘拟合,得到亚像素级位移测量结果。实验结果表明,用该方法测量MEMS微结构平面的运动幅度可以达到亚像素精度,并且可以有效降低光照不均匀对测量结果的影响,从而增加了测量结果的稳定性,减小了测量误差。DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1870
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SVD-based MEMS Dynamic Testing Technology
To obtain the MEMS micro structure's high resolution measurement dynamic parameters ,this paper ,by obtaining stroboscopic imaging technology of micro structure of moving image sequence,  proposed one kind based on the phase correlation technique and singular value decomposition technique combining sub-pixel measurement method. By the method of phase correlation, image space coordinate can transform into the frequency domain to the coordinates of the parameter space. And then through the singular value decomposition technique to obtain the correlation matrix, using the least-squares fitting, get the sub-pixel level displacement measurement results. The experimental results show that, with this method of measuring MEMS micro structure plane motion amplitude can reach sub-pixel accuracy, and can be effectively reduced by uneven illumination effect on the measuring result, thereby increasing the measurement results of stability and reduces the measuring error. DOI:  http://dx.doi.org/10.11591/telkomnika.v11i1.1870
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