Paper
19 November 1999 Algorithm for air density estimation by measuring parameters of test body movement based on the criteria of the minimum of generalized work functional
V. N. Trofimenko, K. V. Trofimenko
Author Affiliations +
Proceedings Volume 3983, Sixth International Symposium on Atmospheric and Ocean Optics; (1999) https://doi.org/10.1117/12.370510
Event: Sixth International Symposium on Atmospheric and Ocean Optics, 1999, Tomsk, Russian Federation
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. N. Trofimenko and K. V. Trofimenko "Algorithm for air density estimation by measuring parameters of test body movement based on the criteria of the minimum of generalized work functional", Proc. SPIE 3983, Sixth International Symposium on Atmospheric and Ocean Optics, (19 November 1999); https://doi.org/10.1117/12.370510
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KEYWORDS
Error analysis

Motion estimation

Process modeling

Atmospheric modeling

Control systems

Data modeling

Mathematical modeling

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