Parameter estimation and elimination for stochastic noise from Fiber Optical Gyro in wavelet domain

Author

Chunhong, Hua ; Minhu, Zhang ; Zhang, Ren

Author_Institution

Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China

fYear

2009

fDate

17-19 June 2009

Firstpage

1226

Lastpage

1229

Abstract

Stochastic noise of fiber optical gyro (FOG) mainly appears as white noise (WN) and 1/f^gamma fractal noise. Based on the calculation and analysis of the auto-correlation function of sampling data from an interferometric FOG, it can estimate the variance of WN. Then according to the properties of fractal noise in wavelet domain, it can figured out the parameters of fractal noise through fitting practical variances, which are the results of subtracting the variance of WN from that of wavelet coefficients at each scale, by an optimum exponential function. To get a high SNR signal, it selects an improved threshold-value of wavelet filter. The experiment result shows that it achieved a better effect, even if the distribute of white noise do not know beforehand.

Keywords

fibre optic gyroscopes; filtering theory; light interferometry; optical correlation; parameter estimation; signal sampling; stochastic processes; wavelet transforms; white noise; SNR signal; auto-correlation function; fiber optical gyroscope; fractal noise; interferometric FOG; optimum exponential function; parameter estimation; sampling data; stochastic white noise; threshold-value; wavelet filter; Fractals; Noise figure; Optical fibers; Optical filters; Optical interferometry; Optical noise; Parameter estimation; Stochastic resonance; Wavelet domain; White noise; 1/ ƒ γ Fractal Noise; Fiber Optical Gyro; Parameter Estimation; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5192831

Filename

5192831