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Proceedings Paper

Algorithm for air density estimation by measuring parameters of test body movement based on the criteria of the minimum of generalized work functional
Author(s): V. N. Trofimenko; K. V. Trofimenko
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Paper Abstract

The article presents an algorithm for air density estimation by measuring test body movement parameters, based on the criteria of minimum of the generalized work functional. Air density estimation is based on Tikhonov's method of reverse problems regularization. The generalized work functional is used as the regularizing functional. Recommendations for applying a variant of the algorithm with usage of the predictive model are also compiled. The article also includes the comparison of the method with the Calmann filter. The results of modeling the estimation process assuming vertical movement of test body are included.

Paper Details

Date Published: 19 November 1999
PDF: 7 pages
Proc. SPIE 3983, Sixth International Symposium on Atmospheric and Ocean Optics, (19 November 1999); doi: 10.1117/12.370510
Show Author Affiliations
V. N. Trofimenko, Rostov State Univ. (Russia)
K. V. Trofimenko, Rostov State Univ. (Russia)


Published in SPIE Proceedings Vol. 3983:
Sixth International Symposium on Atmospheric and Ocean Optics
Gennadii G. Matvienko; Vladimir P. Lukin, Editor(s)

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