Non-linear phase estimation by computer-aided Markov filtering method: accuracy investigations

Author

Gurov, I.P. ; Sheynihovich, D.V.

Author_Institution

Inst. of Fine Mech. & Opt., Acad. of Sci., St. Petersburg, Russia

Volume

2

fYear

1996

fDate

26-29 Nov 1996

Firstpage

758

Abstract

The phase and intensity in interference pattern depend on each other nonlinearity. Therefore it is reasonable to minimize the phase errors immediately by nonlinear filtering of interferometric data series. We propose a nonlinear filtering (NLF) method based on the theory of Markov stochastic processes for accurate phase estimation of distorted phase-shifted interferometric data series. It is shown that the Markov NLF (MNLF) method ensures the high noise immunity and accuracy phase estimation of interferometric data provided with the influence of phase fluctuations and correlated Gaussian noise

Keywords

Gaussian noise; Markov processes; correlation methods; filtering theory; interference (signal); interferometry; nonlinear filters; phase estimation; stochastic processes; Markov stochastic processes; accuracy; computer-aided Markov filtering; correlated Gaussian noise; distorted phase shifted interferometric data; high noise immunity; interference pattern intensity; interference pattern phase; interferometric data series; nonlinear filtering; nonlinear phase estimation; nonlinearity; phase errors; phase estimation; phase fluctuations; Computer errors; Filtering theory; Gaussian noise; Interference; Nonlinear distortion; Phase distortion; Phase estimation; Phase noise; Phase shifting interferometry; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608440

Filename

608440