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

• 作 者: 李东晖 郭立
• 机 构: Department of Electronic Science and Technology University of Science and Technology of China,Depart
• 出 处: Chinese Optics Letters
• 发表日期: 2006年08期
• 关键词: filtering speckle variance assumed validity verify metrology wavelet pixel verif

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.

Target dynamics are assumed to be known 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 a 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 the verification of validity of Kalman filtering techniques for reduction of measurement noise variance.