Application of extended Kalman particle filter for dynamic interference fringe processing

Petr A. Ermolaev; Maxim A. Volynsky

doi:10.1117/12.2230911

21 April 2016 Application of extended Kalman particle filter for dynamic interference fringe processing

Petr A. Ermolaev, Maxim A. Volynsky

Proceedings Volume 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS); 99173J (2016) https://doi.org/10.1117/12.2230911
Event: Saratov Fall Meeting 2015, 2015, Saratov, Russian Federation

Abstract

The application of extended Kalman particle filter for dynamic estimation of interferometric signal parameters is considered. A detail description of the algorithm is given. Proposed algorithm allows obtaining satisfactory estimates of model interferometric signals even in the presence of erroneous information on model signal parameters. It provides twice as high calculation speed in comparison with conventional particle filter by reducing the number of vectors approximating probability density function of signal parameters distribution

Citation Download Citation

Petr A. Ermolaev and Maxim A. Volynsky "Application of extended Kalman particle filter for dynamic interference fringe processing", Proc. SPIE 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS), 99173J (21 April 2016); https://doi.org/10.1117/12.2230911

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