Shallow sea target depth classification method based on hydrophone array

Abstract

The invention provides a shallow sea target depth classification method based on a hydrophone array. Detection is performed by integrating information received by multiple hydrophones, a typical probability density function of energy field change produced by model-based deep and shallow sound sources is generated by acoustic propagation simulation, likelihood ratio test (LRT) is performed based on the probability density function to identify a received signal, prior knowledge is extracted according to the law of distribution of sound energy within the whole range of a sound field, and thus, depth classification is performed on the sound field target. The algorithm is easy to implement and high in environmental adaptability.

Description

technical field [0001] The invention relates to the field of sounding of hydrophone array signals, in particular to a method for classifying shallow sea target depths based on hydrophone arrays. Background technique [0002] Mode-based depth estimation and classification has been the focus of passive sonar signal processing for many years. The traditional sonar detection problem regards the environmental parameters as certain, and the detection performance (accuracy, scope of application, etc.) depends on the matching degree of the model parameters and the real parameters. The currently best researched technique is Matched Field Processing (MFP), the prediction of its detection performance is inherently deterministic. MFP is also sometimes referred to as generalized beamforming. It uses complex sound field interference patterns to locate the distance, depth, and azimuth parameter combinations of sound sources, and solves the inversion problem of localizing sound sources by ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problem that the existing shallow sea target depth classification method does not consider the change of environmental parameters, thus causing a mismatch between model parameters and real parameters and affecting the accuracy of sound source positioning. The present invention provides a A classification method based on the depth of shallow sea targets based on hydrophone arrays. This classification method uses sound propagation simulation to generate a typical probability density function of the energy field changes produced by the deep and shallow sound sources based on the model, and based on this probability density function, the likelihood ratio is calculated. Detection (LRT) to identify received signals to achieve deep classification of sound sources in changing environments, avoiding the above-mentioned technical problems of model mismatch

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