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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Vydané v:	Digital signal processing Ročník 164; s. 105281
Hlavní autori:	Dai, Yawen, Yang, Lei, Cao, Yifei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.09.2025
Predmet:	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
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