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Underwater sound source positioning method

A sound source localization and sound source signal technology, applied in positioning, neural learning methods, measuring devices, etc., can solve the problems of poor positioning accuracy and robustness, and achieve the effect of a robust underwater sound source localization method

Active Publication Date: 2019-07-05
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of poor accuracy and robustness of underwater sound source positioning in the prior art, the present invention proposes an underwater sound source localization method, and uses a deep neural network to realize robust and efficient underwater sound source localization

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Embodiment Construction

[0029] The present invention will be further described now in conjunction with accompanying drawing.

[0030] refer to figure 1 , the method of the present invention comprises the following steps

[0031] Step 1) converting the sound source signal received by the hydrophone array into a digital sound signal;

[0032] The sound source signal received through the hydrophone array is converted into a digital sound signal; wherein, the hydrophone array includes K microphones.

[0033] Step 2) Perform Fourier transform on the digital sound signal.

[0034] Step 3) Calculate the data covariance matrix on each frequency within the signal bandwidth, and then extract the eigenvectors that can represent the signal orientation information through eigenvalue decomposition. The specific steps are:

[0035] 3-1) Data covariance matrix on the fth frequency point:

[0036]

[0037] Among them, the superscript + indicates the operation of obtaining the conjugate transpose, D represents ...

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Abstract

The invention relates to an underwater sound source positioning method. The method includes the following steps that: sound source signals received by a hydrophone array are converted into digital sound signals; Fourier transformation is performed on the digital sound signals; a data covariance matrix is calculated on each frequency within a signal bandwidth, and feature vectors which can represent signal orientation information are extracted through feature value decomposition; in a training stage, a time delay neural network is used for learning training samples, so that the mapping relationmodel of the feature vectors and sound source orientations is obtained; and in a testing stage, the feature vector of a test sample is inputted to the trained model, so that distance and depth estimation value of a sound source can be obtained. According to the method of the invention, the deep neural network is utilized, so that robust and efficient underwater sound source positioning can be realized.

Description

technical field [0001] The invention relates to an underwater sound source localization method. Background technique [0002] Sound source localization includes single sound source localization and multiple sound source localization. The sound source localization technology can indicate the spatial orientation of the sound source target and provide important spatial information for subsequent information collection and processing. [0003] Traditional methods mainly use modern digital signal processing technology to estimate the location information of the sound source, and give the location of the sound source through grid point matching search or analysis. These methods often rely on the accuracy of environmental information, and environmental disturbances will affect the positioning accuracy. accuracy and robustness. [0004] In the past ten years, a small number of methods have introduced machine learning into underwater sound source localization tasks. Shallow neural n...

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Application Information

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IPC IPC(8): G01S5/20G06N3/08
CPCG01S5/20G06N3/08
Inventor 徐及黄兆琼颜永红
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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