Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder

Abstract Passive localization of underwater targets was a thorny problem in underwater acoustics. For traditional model-driven passive localization methods, the main challenges are the inevitable environmental mismatch and the presence of interference and noise everywhere. In recent years, data-driv...

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Bibliographic Details

Published in:	EURASIP Journal on Advances in Signal Processing
Main Authors:	Pian Jin, Biao Wang, Lebo Li, Peng Chao, Fangtong Xie
Format:	Article
Language:	English
Published:	SpringerOpen 2022-11-01
Subjects:	Underwater acoustic source localization Semi-supervised learning Convolutional autoencoder Self-attentive mechanism Data mismatch
Online Access:	https://doi.org/10.1186/s13634-022-00941-9