Title :
Wind flight conditions model
Author :
Averyanova, Yu.A. ; Averyanov, A.A. ; Yanovsky, F.J.
Author_Institution :
Nat. Aviation Univ., Kiev, Ukraine
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;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 2002. MMET '02. 2002 International Conference on
Conference_Location :
Kiev, Ukraine
Print_ISBN :
0-7803-7391-X
DOI :
10.1109/MMET.2002.1106883
