Dynamic processing of spectral interference fringes based on the stochastic phase locked loop method

Igor P. Gurov; Vladimir Chugunov

doi:10.1117/12.518201

26 September 2003 Dynamic processing of spectral interference fringes based on the stochastic phase locked loop method

Igor P. Gurov, Vladimir Chugunov

Proceedings Volume 5134, Current Research on Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002; (2003) https://doi.org/10.1117/12.518201
Event: Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002, 2000, Unknown, United States

Abstract

Interferometric optical radar techniques are widely used in non-contact testing and production control. Interferometric spectral radar includes an unbalanced low-coherent interferometer with a subsequent sepctrometer that provides the channeled spectrum observation in the form of spectral modulated fringes inside the light source spectral band. We propose to use the stochastic phase locked loop (SPLL) method for processing the spectral fringe obtained with the measuring wave interaction with a partially scattering tissues. This method involves the dynamic description of the stochastic signals by the discrete stochastic differential equations. Stochastic dynamic fringe processing is based on the prediction the signal value at a next discretization step using whole statistical information available before this step. The prediction error is calculated as the difference between observed and predicted values. Optimal SPLL method provides the minimum RMS error of stochastic fringe phase estimation. Recurrence SPLL procedure increases the quickness of calculations and allows creating the compact measuring devices for industrial inspection.

Citation Download Citation

Igor P. Gurov and Vladimir Chugunov "Dynamic processing of spectral interference fringes based on the stochastic phase locked loop method", Proc. SPIE 5134, Current Research on Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002, (26 September 2003); https://doi.org/10.1117/12.518201

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