Nonparametric adaptive identification algorithms in problems of acoustic sounding of the atmosphere

V. A. Simakhin; O. S. Cherepanov; L. G. Shamanaeva

doi:10.1117/12.2603331

15 December 2021 Nonparametric adaptive identification algorithms in problems of acoustic sounding of the atmosphere

V. A. Simakhin, O. S. Cherepanov, L. G. Shamanaeva

Proceedings Volume 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 1191663 (2021) https://doi.org/10.1117/12.2603331
Event: 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2021, Moscow, Russian Federation

Abstract

The present work deals with the problem of constructing nonparametric mathematical models for interpretation of results of acoustic sounding of the atmosphere in the presence of outliers in experimental data. It is shown that the proposed adaptive nonparametric regression estimates are preferable compared to a number of the known robust parametric and nonparametric estimates. These mathematical models can also be recommended for processing of laser sensing data.

Citation Download Citation

V. A. Simakhin, O. S. Cherepanov, and L. G. Shamanaeva "Nonparametric adaptive identification algorithms in problems of acoustic sounding of the atmosphere", Proc. SPIE 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 1191663 (15 December 2021); https://doi.org/10.1117/12.2603331

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