Wind flight conditions model

Author

Averyanova, Yu.A. ; Averyanov, A.A. ; Yanovsky, F.J.

Author_Institution

Nat. Aviation Univ., Kiev, Ukraine

Volume

1

fYear

2002

fDate

10-13 Sept. 2002

Firstpage

275

Abstract

Possible mathematical models of atmospheric processes as a result of superposition of random and deterministic components of the wind shear vector in the air space under study are considered. Canonical decompositions are used. Methods of necessary measurable data and measurable parameter estimation as well as their separation are discussed. The state space method and an optimal stationary measuring system are suggested for data processing.

Keywords

Doppler radar; aerospace simulation; meteorological radar; parameter estimation; radar signal processing; random processes; state-space methods; wind; Doppler radar sets; atmospheric processes; canonical decompositions; data processing; deterministic components; flight safety; mathematical models; measurable parameter estimation; necessary measurable data; optimal stationary measuring system; random components; random time-dependent process; state space method; wind flight conditions model; wind shear vector; Aerodynamics; Aircraft; Atmospheric measurements; Doppler radar; Electromagnetic measurements; Mathematical model; Random processes; Spaceborne radar; Time measurement; Wind;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Electromagnetic Theory, 2002. MMET '02. 2002 International Conference on

Conference_Location

Kiev, Ukraine

Print_ISBN

0-7803-7391-X

Type

conf

DOI

10.1109/MMET.2002.1106883

Filename

1106883