Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 4,
  • Issue 8,
  • pp. 453-456
  • (2006)

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

Not Accessible

Your library or personal account may give you access

Abstract

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.

© 2006 Chinese Optics Letters

PDF Article
More Like This
Noise reduction in high-resolution speckle displacement measurements through ensemble averaging

León Schweickhardt, Andreas Tausendfreund, Dirk Stöbener, and Andreas Fischer
Appl. Opt. 60(7) 1871-1880 (2021)

Fundamental uncertainty limit for speckle displacement measurements

Andreas Fischer
Appl. Opt. 56(25) 7013-7019 (2017)

Digital speckle correlation method based on wavelet-packet noise-reduction processing

Xing Dai, Yan Cheong Chan, and Alex Chun Kwan So
Appl. Opt. 38(16) 3474-3482 (1999)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.