Study on weak sound signal separation and pattern recognition under strong background noise in marine engineering
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Published:2024-01-19
Issue:
Volume:
Page:
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ISSN:1461-3484
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Container-title:Journal of Low Frequency Noise, Vibration and Active Control
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language:en
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Short-container-title:Journal of Low Frequency Noise, Vibration and Active Control
Author:
Liu Song1ORCID,
Gao Jiantong2,
Zhou Huayu1,
Yang Kang1,
Liu Panpan1,
Du Yifan1
Affiliation:
1. State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, School of Naval Architecture & Ocean Engineering, Dalian University of Technology, Dalian, China
2. China Helicopter Research and Development Institute, Jingdezhen, China
Abstract
The extraction of weak acoustic signals under strong background noise is of great significance in the applications of target identification and localization. In this paper, the pulse signal with high randomness is set as the weak signal sound source, random noise and sine sound are used as the background noise. Under the condition of a signal-to-noise ratio of −20 dB, combined with blind source separation and neural network methods, the collected observation signals are subjected to weak sound signal separation and recognition research. The optimization method of centralization and scaling processing is used to eliminate the unfavorable influence of the uncertainty of the separated signal amplitude caused by the blind source separation method on the pattern recognition. The recognition result is verified by the combination of “weak impulse acoustic signal” and “random noise signal,” and the output vector (0.99 0.01 0.01) approaches (1 0 0), which is recognized as impulse acoustic signal. By combining blind source separation and neural network methods, the separation and identification of weak pulse signals under the condition of a signal-to-noise ratio of −20 dB can be achieved.
Funder
Research on Location and Imaging of Ship Radiated Noise Sources in Complex Marine Environment
Research on the Separation and Identification of Multi target Noise Sources in Complex Sound Fields Based on Phase Conjugation Method
Publisher
SAGE Publications
Subject
Mechanical Engineering,Geophysics,Mechanics of Materials,Acoustics and Ultrasonics,Building and Construction,Civil and Structural Engineering