Adaptive algorithm for localizing underwater noise sources in shallow waters

An adaptive noise-resistant algorithm for holographic processing of hydroacoustic signals is presented, which provides restoration of the distance and radial velocity of underwater noise sources in shallow waters in the absence of information about the characteristics of the propagation medium. The algorithm is based on the measured values of the source hologram. The results of numerical simulation are presented. An analysis of the stability of the algorithm for estimating the source parameters with respect to intense internal waves that determine the horizontal refraction of sound field modes is performed.

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Publication Details

Journal
Radioelectronics Nanosystems Information Technologies
Published
2024-08-11
DOI
https://doi.org/10.17725/j.rensit.2024.16.533
Citations
1
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.48

Funders

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Adaptive algorithm for localizing underwater noise sources in shallow waters

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article

Adaptive algorithm for localizing underwater noise sources in shallow waters

S. A. Tkachenko, Pavel Rybyanets, S. A. Pereselkov, Владимир И. Грачев, V. M. Kuz’kin
article en
1 citations

Abstract

An adaptive noise-resistant algorithm for holographic processing of hydroacoustic signals is presented, which provides restoration of the distance and radial velocity of underwater noise sources in shallow waters in the absence of information about the characteristics of the propagation medium. The algorithm is based on the measured values of the source hologram. The results of numerical simulation are presented. An analysis of the stability of the algorithm for estimating the source parameters with respect to intense internal waves that determine the horizontal refraction of sound field modes is performed.

Radioelectronics Nanosystems Information TechnologiesVol. 16(4)
Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences (RU), Voronezh State University (RU)
Russian Science Foundation
Life below water
Openalex Percentile: Top 35%
Underwater Acoustics Research
0.48
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