Research on Ship Radiated Noise Separation Method Based on Neural Network Autoencoder Combined With Time-Frequency Masking

Strong narrowband signals mixed with weak broadband signals can interfere with the direction estimation of broadband targets using the cross-correlation method of a two-hydrophone array. To tackle this problem, this article proposes a method for separating narrowband signals from sonar-received sign...

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Veröffentlicht in:IEEE journal of oceanic engineering Jg. 50; H. 4; S. 3248 - 3263
Hauptverfasser: Xia, Zhi, Zhang, Ziang, Shi, Jie, Zhao, Zihao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Autoencoders
Broadband
Broadband communication
Correlation
Cross correlation
Direction-of-arrival (DOA) estimation
Direction-of-arrival estimation
Frequency distribution
Hydrophones
Marine vehicles
Masking
Narrowband
Neural networks
passive sonar detection
Propellers
Sonar
Sonar detection
Spectrogram
Time-frequency analysis
time-frequency masking
Velocity control
ISSN:0364-9059, 1558-1691
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Zusammenfassung:Strong narrowband signals mixed with weak broadband signals can interfere with the direction estimation of broadband targets using the cross-correlation method of a two-hydrophone array. To tackle this problem, this article proposes a method for separating narrowband signals from sonar-received signals. The proposed method integrates neural network autoencoders with time-frequency masking techniques. We have designed a lightweight neural network autoencoder that can be trained using purely simulated data. This autoencoder extracts narrowband line spectrum features from the time-frequency distribution of the sonar-received signals and generates time-frequency masks. Subsequently, the time-frequency masking method is employed to isolate the narrowband components from the sonar-received signals. The proposed method was validated using data from the SWellEx-96 experiment. In the cross-correlation results of the original data from two hydrophones, strong narrowband signals dominated and obscured the weaker broadband signals. By removing the narrowband components from the two-hydrophone signals using the method proposed in this article, the cross-correlation of the processed data clearly revealed the time history of the broadband signal characteristics. This result confirms the effectiveness of the proposed method.
Bibliographie:ObjectType-Article-1
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ISSN:0364-9059
1558-1691
DOI:10.1109/JOE.2025.3590072