Acoustic target radiation noise classification method and system based on EMD and compressed sensing

Abstract

The invention discloses an acoustic target radiation noise classification method and system based on EMD (Empirical Mode Decomposition) and compressed sensing. The method comprises the following stepsof firstly, carrying out EMD decomposition on an obtained ship radiation noise signal and carrying out line spectrum component extraction on a basic mode component by utilizing compressed sensing; and utilizing the maximum mutual information coefficient to select the line spectrum component obtained by the maximum correlation coefficient of the basic mode component and the original signal to resynthesize the signal line spectrum. According to the method, the line spectrum with relatively low amplitude in the signal can be extracted; sparse dictionary training being carried out on the extracted line spectrums, sparse coding matrixes obtained after sparse representation is carried out on different signals being distributed at different positions, subsequent classification being more facilitated, time domain, frequency domain and sparse domain feature extraction being carried out on the signal line spectrums to form an accurate feature set capable of serving as a classification basis, and classification accuracy being improved; the line spectrum of the signal can be extracted more accurately; the extracted sparse features have better separability, and have a good application prospectin identification of radiation noise classification of underwater acoustic targets such as ships and warships.

Description

technical field [0001] The invention belongs to the field of underwater acoustic signal processing, and in particular relates to an underwater acoustic target radiation noise classification method and system based on EMD and compressed sensing. Background technique [0002] The main components of the radiated noise of underwater acoustic targets such as ships include mechanical noise, propeller noise, and hydrodynamic noise, which contain more information about the movement of underwater acoustic targets, especially the radiated noise line spectrum formed by propeller noise and propeller singing. Therefore, if the radiation noise line spectrum can be accurately extracted from the radiation noise signal of the underwater acoustic target, it is of great significance for the acquisition of the motion information of the underwater acoustic target and the classification and identification of the underwater acoustic target. [0003] Due to the complex generation mechanism of under...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for classifying radiation noise of underwater acoustic targets based on EMD and

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