研究论文

基于SVD的MEMS微结构位移测量新算法

  • 胡章芳;计超;罗元
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  • 重庆邮电大学光电工程学院,重庆 400065

收稿日期: 2012-05-07

  修回日期: 2013-04-10

  网络出版日期: 2013-06-18

A New Algorithm for MEMS Microstructure Amplitude Measurements Based on Singular Value Decomposition

  • HU Zhangfang;JI Chao;LUO Yuan
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  • Photoelectric engineering college,The Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received date: 2012-05-07

  Revised date: 2013-04-10

  Online published: 2013-06-18

摘要

为实现MEMS微结构周期运动过程中平面运动位移测量及其动态特性参数的高分辨力测量,本文针对频闪成像技术获得的微结构运动图像序列,提出一种基于相位相关技术与奇异值分解技术相结合的亚像素测量方法。该方法通过相位相关技术将图像的空间坐标转换为频域坐标的参数空间,然后通过奇异值分解技术处理得到的相关矩阵,最后利用最小二乘法线性拟合,得到物体水平位移的亚像素测量结果。实验结果表明,用该方法测量MEMS微结构平面运动位移能达到亚像素精度,从而提高测量结果的稳定性和减少测量误差。

本文引用格式

胡章芳;计超;罗元 . 基于SVD的MEMS微结构位移测量新算法[J]. 科技导报, 2013 , 31(17) : 25 -28 . DOI: 10.3981/j.issn.1000-7857.2013.17.003

Abstract

In order to obtain the high resolution measurement dynamic parameters for Micro Electro Mechanical System (MEMS) microstructure, the microstructure of moving image sequence is acquired by using stroboscopic imaging technology. One kind method based on the phase correlation technique and Singular Value Decomposition (SVD) technique combining with sub-pixel measurement is proposed. By means of phase correlation, the method is able to transform the spatial coordinate of the images into the parameter space in frequency domain coordinates. And then through the SVD technique, a correlation matrix is gained. Finally using the least-squares fitting, the results of sub-pixel level displacement measurement are got. The experimental results indicate that with the method, the amplitude measurement of MEMS microstructure plane motion is able to reach at the precision of sub-pixel, and could effectively reduce uneven illumination effect on the measuring result, thereby increasing the stability of measurement results and reducing the measuring error.
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