A study of Kalman filtering and maximum likelihood estimates of wind profiles using simulated laser distortion data

Author

El-Sayed, Suzan M. ; Leland, Robert P.

Author_Institution

Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA

fYear

1993

fDate

7-9 Mar 1993

Firstpage

296

Lastpage

300

Abstract

Wind profiles in turbulent atmosphere are estimated, using laser distortion data. A stochastic approach is introduced to develop a discretized model that describes the random behavior of the refractive index fluctuations, the random fluctuation of the atmosphere, and the uncertainty of the observations for a linear state system. A computer code has been developed to estimate the wind profile along the length of the laser beam. Numerous simulated runs for different wind profiles and different grid size in one, two, and three dimensions are presented. Results of simulations are compared with true wind profiles

Keywords

Kalman filters; atmospheric light propagation; atmospheric turbulence; maximum likelihood estimation; optical noise; refractive index; remote sensing by laser beam; simulation; wind; Kalman filtering; computer code; discretized model; linear state system; maximum likelihood estimates; refractive index fluctuations; simulated laser distortion data; stochastic approach; turbulent atmosphere; uncertainty; wind profiles; Atmosphere; Atmospheric modeling; Computational modeling; Filtering; Fluctuations; Kalman filters; Laser modes; Laser noise; Maximum likelihood estimation; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on

Conference_Location

Tuscaloosa, AL

ISSN

0094-2898

Print_ISBN

0-8186-3560-6

Type

conf

DOI

10.1109/SSST.1993.522789

Filename

522789