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Proceedings Paper

Robust identification algorithms in problems of lidar sensing of the atmosphere
Author(s): Valery A. Simakhin; Oleg S. Cherepanov
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Paper Abstract

In this report the identification problem of laser and acoustic sounding of the atmosphere is considered in the presence of outliers in experimental data. The efficiency of estimates of the regression by the weighed method of maximum likelihood is investigated. Expressions for the efficiency of estimates are derived. It is demonstrated that the estimates of the regression by the weighed maximum likelihood method are more efficient in comparison with a number of well-known robust estimates for the examined outlier distributions, both symmetric and asymmetric.

Paper Details

Date Published: 25 November 2014
PDF: 7 pages
Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 92923K (25 November 2014); doi: 10.1117/12.2074207
Show Author Affiliations
Valery A. Simakhin, Kurgan State Univ. (Russian Federation)
Oleg S. Cherepanov, Kurgan State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9292:
20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii, Editor(s)

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