Expendable Conductivity–Temperature–Depth-Assisted Fast Underwater Sound Speed Estimation by Convolutional Neural Network with Reduced Fully Connected Layers

Expendable Conductivity–Temperature–Depth-Assisted Fast Underwater Sound Speed Estimation by Convolutional Neural Network with Reduced Fully Connected Layers

Obtaining accurate sound speed profiles (SSPs) in near-real-time is of great significance for ocean exploration, underwater communication and improving the performance of sonar systems. In response to the problem that traditional sound speed estimation methods cannot obtain real-time sound speed dis...

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Bibliographic Details
Main Authors: Sijia Li, Hao Zhang, Jiajun Lu, Pengfei Wu, Wei Huang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Marine Science and Engineering
Subjects:
sound speed estimation
convolutional neural networks (CNNs)
sound speed profile (SSP)
expendable conductivity–temperature–depth probe (XCTD)
Online Access:https://www.mdpi.com/2077-1312/12/3/400

Internet

https://www.mdpi.com/2077-1312/12/3/400

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