Robust identification algorithms in problems of lidar sensing of the atmosphere

Valery A. Simakhin; Oleg S. Cherepanov

doi:10.1117/12.2074207

25 November 2014 Robust identification algorithms in problems of lidar sensing of the atmosphere

Valery A. Simakhin, Oleg S. Cherepanov

Author Affiliations +

Proceedings Volume 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 92923K (2014) https://doi.org/10.1117/12.2074207
Event: 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2014, Novosibirsk, Russian Federation

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.

Citation Download Citation

Valery A. Simakhin, Valery A. Simakhin, Oleg S. Cherepanov, Oleg S. Cherepanov, "Robust identification algorithms in problems of lidar sensing of the atmosphere", Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 92923K (25 November 2014); doi: 10.1117/12.2074207; https://doi.org/10.1117/12.2074207

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