Chinese Optics Letters, Volume. 4, Issue 8, 453(2006)

Kalman filtering techniques for reducing variance of digital speckle displacement measurement noise

Donghui Li and Li Guo*
Author Affiliations
  • Department of Electronic Science and Technology, University of Science and Technology of China, Heifei 230027
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    Target dynamics are assumed to be known in measuring digital speckle displacement. Use is made of a simple measurement equation, where measurement noise represents the effect of disturbances introduced in measurement process. From these assumptions, Kalman filter can be designed to reduce variance of measurement noise. An optical and analysis system was set up, by which object motion with constant displacement and constant velocity is experimented with to verify validity of Kalman filtering techniques for reduction of measurement noise variance.

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    Donghui Li, Li Guo. Kalman filtering techniques for reducing variance of digital speckle displacement measurement noise[J]. Chinese Optics Letters, 2006, 4(8): 453

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    Paper Information

    Received: Jan. 13, 2006

    Accepted: --

    Published Online: Aug. 31, 2006

    The Author Email: Li Guo (lguo@ustc.edu.cn)

    DOI:

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