Time-Varying Stochastic Turbulence Model Considering Intermittency

Author

Yuan, Guoyong ; Xu, Lin ; Liu, Yaping ; Yang, Shiping

Author_Institution

Dept. of Phys., Hebei normal Univ., Shijiazhuang, China

fYear

2009

fDate

6-8 Nov. 2009

Firstpage

126

Lastpage

129

Abstract

Considering the intermittency of turbulence, the white noise as the stochastic driving term in time-varying stochastic turbulence model, which was supposed by Curtis R. Vogel, is replaced by a Levy random process. Phase screens can be obtained by solving the stochastic partial differential equation (PDE), and the corresponding point spread function (PSF) is also offered. These results describe that intermittency leads to the more extent distribution of PSF and more bad imaging quality.

Keywords

optical images; partial differential equations; random processes; stochastic processes; turbulence; white noise; Levy random process; phase screens; point spread function; stochastic partial differential equation; time varying stochastic turbulence model; turbulence intermittency; white noise; Chaos; Differential equations; Integral equations; Navier-Stokes equations; Nonlinear equations; Optical imaging; Physics; Random processes; Stochastic processes; Stochastic resonance; L´{e}vy distribution; intermittency; turbulence;

fLanguage

English

Publisher

ieee

Conference_Titel

Chaos-Fractals Theories and Applications, 2009. IWCFTA '09. International Workshop on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3853-2

Type

conf

DOI

10.1109/IWCFTA.2009.34

Filename

5361908