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Proceedings Paper

Application of extended Kalman particle filter for dynamic interference fringe processing
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Paper 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

Paper Details

Date Published: 21 April 2016
PDF: 8 pages
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); doi: 10.1117/12.2230911
Show Author Affiliations
Petr A. Ermolaev, ITMO Univ. (Russian Federation)
Maxim A. Volynsky, ITMO Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9917:
Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS)
Elina A. Genina; Valery V. Tuchin; Vladimir L. Derbov; Dmitry E. Postnov; Igor V. Meglinski; Kirill V. Larin; Alexander Borisovich Pravdin, Editor(s)

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