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Numerical models for detecting underwater sound sources and assessing the range of hydroacoustic means in the passive mode based on operational data on the marine environment

https://doi.org/10.7868/S2073667319040129

Abstract

Currently application of hydroacoustic systems, which detect and estimate parameters of underwater sources of sound, still remain the main method of underwater state coverage. We consider native basic processing of hydroacoustic fields, including a procedure which takes sea state into account and gives an estimate of signal likelihood ratio in each point of overview area. An example of the implementation of native processing based on ray model for the case of experimentally detected signals on horizontally towed antenna with 48 receivers and a length of 100 meters is given. During processing almost all available information on sea state and distortions is used. It is shown that the effectiveness of hydroacoustic systems may be significantly increased if the distortion of signal in heterogeneous fluid is taken into account.

Algorithms for calculation of signals and distortions, detection and estimation of the range of hydroacoustic systems in passive mode have been implemented in numerical models. A comparison with traditionally used processing method in case of linear antenna model with 128 receivers with a total length of 512 meters is performed. Native basic processing solves the problems of detection, classification and coordinates estimation. Such processing may well be implemented by modern means considering the scope of available hydrophysical and hydroacoustical data.

About the Authors

K. V. Avilov
Mechanical Engineering Research Institute of the Russian Academy of Sciences
Russian Federation

Moscow



E. V. Semenov
Shirshov Institute of Oceanology, Russian Academy of Sciences
Russian Federation

Moscow



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Review

For citations:


Avilov K.V., Semenov E.V. Numerical models for detecting underwater sound sources and assessing the range of hydroacoustic means in the passive mode based on operational data on the marine environment. Fundamental and Applied Hydrophysics. 2019;12(4):105-111. (In Russ.) https://doi.org/10.7868/S2073667319040129

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ISSN 2073-6673 (Print)
ISSN 2782-5221 (Online)