METHOD OF FORMING A SCALABLE SYSTEM FOR DETECTING AND CLASSIFYING SEA TARGETS WITH ARTIFICIAL INTELLIGENCE ELEMENTS Russian patent published in 2019 - IPC G10K11/18 G01S13/86 G01S3/00 G01H3/00 

Abstract RU 2694848 C1

FIELD: hydro acoustics.

SUBSTANCE: invention relates to hydroacoustics and can be used to form a scalable target classification system, transmitting data from the marine environment to the atmosphere and back. Main system is formed, for which one radiator (3) and two receiving transducers (4) and (5) are placed on opposite boundaries of medium and working zone of nonlinear interaction and parametric conversion of waves (7) is formed between them from two horizontally spaced in receiving zone and combined in radiation zone of parametric antennae. Nonlinearly transformed waves are received and transmitted to receiving channel (2), where signals are amplified in the band of parametric wave conversion, their phase difference is measured, frequency-time scale of signals is converted to high-frequency region, their narrow-band spectra are measured and recorded. Signals from the spectrum analyzer output are transmitted via a radio communication channel to an information-analytical center (IAC) (18), where identification of information waves is carried out, according to the results of which necessary correction is introduced and signals are transmitted back to radiating path (1) for controlling the pumping waves of the sea medium. At the same time the main system is scaled. For this purpose, n additional systems are introduced, which are spatially distributed within adjacent and remote water areas. Additionally, a single information-analytical center (SIAC) (25) is installed, which controls operation of the main and n additional systems. For paging of medium pumping signals to each additional system include emitting (1.1...1.n) and receiving (2.1...2.n) channels, radiators (3.1...3.n) and two receiving transducers (4.1...4.n), which are placed in marine environment and connected by cable to emitting (1) and receiving (4) paths respectively. Working zones of nonlinear interaction and parametric conversion of waves (7.1...7.n) are formed similarly to the main system. Signals are received and by means of cables are transmitted to receiving paths (2.1...2.n), where signals are amplified, converted, analyzed and transmitted to input of recorder and inputs of units of system analyzers IAC (18.1...18.n), mathematical processing of images of spectrograms of objects and comparing degree of belonging of analyzed spectral region to basic data, recording, accumulating and updating data libraries of portraits of classification objects. Signals from the outputs of the IAC of main (18) and n additional systems (18.1...18.n) via radio communication channels are transmitted to SIAC (25), through which the library of portals of the IAC classification objects of the main and n additional systems is refilled and signals are generated which, over radio communication channels is transmitted from SIAC (25) outputs to main (1) emitting channels and n additional systems (1.1...1.n) to input of corresponding pumping signals of sea medium for correction of their parameters taking into account hydro-acoustic conditions of wave propagation in marine environment and detected objects.

EFFECT: enabling generation of a scalable system for detection and classification of marine targets with elements of artificial intelligence, through which a long parametric reception of interacting waves is provided on adjacent and remote water bodies using data transmission from the marine environment into the atmosphere and back, detected objects are classified based on computational operations of artificial neural networks and libraries of mathematically processed images of sea target spectrograms.

1 cl, 9 dwg

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RU 2 694 848 C1

Authors

Pyatakovich Valerij Aleksandrovich

Vasilenko Anna Mikhajlovna

Mironenko Mikhail Vladimirovich

Dates

2019-07-17Published

2018-12-05Filed