Long baseline underwater source localization based on deep K-Means++ clustering in complex underwater environments

Long baseline localization relies on trilateration, with the least squares method being utilized to determine the unique position of underwater sources. However, it is highly sensitive to distance measurements from any of the reference beacons to the source. Furthermore, achieving continuous and sta...

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Bibliographic Details

Published in:	Digital signal processing Vol. 164; p. 105281
Main Authors:	Dai, Yawen, Yang, Lei, Cao, Yifei
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.09.2025
Subjects:	Deep K-Means++ clustering Long baseline Stack denoising autoencoder Underwater source localization Long baseline Underwater source localization Deep K-Means++ clustering Stack denoising autoencoder
ISSN:	1051-2004
Online Access:	Get full text
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