METHOD OF DETECTING NOISY OBJECTS IN SEA Russian patent published in 2019 - IPC G01S3/80 

Abstract RU 2694782 C1

FIELD: physics.

SUBSTANCE: invention relates to the field of hydroacoustics and can be used in systems for noise control of hydroacoustic stations. Proposed method comprises the following steps: receiving noise signals by static fan of directional characteristics in horizontal and vertical planes, performing frequency-time processing in each spatial surveillance channel, squared, averaged in time, aligned and normalized signals to interference, observed at current scanning cycle of received normalized signals and decision is made on detection by means of comparison with threshold value of signal-interference ratio. Method is characterized by that in each viewing cycle, signals are observed by generating power flow vector components in signal wave plane, wherein frequency readings of the acoustic pressure field in the spatial observation channels are converted into frequency samples of the components of the acoustic velocity vector in the signal wave plane, and generating radial component of power flow vector in radial direction along normal to signal wave plane. Method is also characterized by that on each viewing cycle, adaptive spatial channels for monitoring components of the power flux vector are formed, each of which is formed by at least three adjacent spatial channels in the horizontal plane. Method is based on the fact that the correlation matrix of noise signals of the obtained adaptive spatial surveillance channel can be reduced to dimensions of the signal space.

EFFECT: method increases reliability of detection, realizes a given accumulation time and allows long-term maintenance of acoustic contact with noisy target moving in sea by taking into account hydroacoustic conditions of observation of noisy objects and more complete selection of noise signals in additive mixture of directed noise interferences by angle in vertical or horizontal planes.

1 cl, 2 dwg

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RU 2 694 782 C1

Authors

Karishnev Nikolaj Sergeevich

Ermolenko Aleksandr Stepanovich

Podgajskij Yurij Pavlovich

Alekseev Nikolaj Semenovich

Dates

2019-07-16Published

2018-06-22Filed