Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks

Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks

Ship-radiated noise is the main basis for ship detection in underwater acoustic environments. Due to the increasing human activity in the ocean, the captured ship noise is usually mixed with or covered by other signals or noise. On the other hand, due to the softening effect of bubbles in the water...

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Bibliographic Details
Main Authors: Ruiping Song, Xiao Feng, Junfeng Wang, Haixin Sun, Mingzhang Zhou, Hamada Esmaiel
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
nonlinear blind source separation
ship-radiated noise
underwater acoustic nonlinear propagation
attention mechanism
recurrent neural networks
Online Access:https://www.mdpi.com/2072-4292/16/4/653

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https://www.mdpi.com/2072-4292/16/4/653

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