[HTML][HTML] A survey on machine learning in ship radiated noise
HI Hummel, R van der Mei, S Bhulai - Ocean Engineering, 2024 - Elsevier
The utilization of machine learning in analyzing ship radiated noise (SR-N) is undergoing
rapid evolution. Because the omnipresent background noise strongly depends on the highly …
rapid evolution. Because the omnipresent background noise strongly depends on the highly …
Effective underwater acoustic target passive localization of using a multi-task learning model with attention mechanism: Analysis and comparison under real sea trial …
J He, B Zhang, P Liu, X Li, L Wang, R Tang - Applied Ocean Research, 2024 - Elsevier
Sound source ranging (SSR) and depth estimation are fundamental tasks in passive
localization, aiming to determine target locations using passive sonar. In the past, most …
localization, aiming to determine target locations using passive sonar. In the past, most …
Source depth estimation with feature matching using convolutional neural networks in shallow water
A feature matching method based on the convolutional neural network (named FM-CNN),
inspired from matched-field processing (MFP), is proposed to estimate source depth in …
inspired from matched-field processing (MFP), is proposed to estimate source depth in …
[HTML][HTML] Source Range Estimation Using Linear Frequency-Difference Matched Field Processing in a Shallow Water Waveguide
P Song, H Wang, B Su, L Wang, W Gao - Remote Sensing, 2024 - mdpi.com
Matched field processing (MFP) is an established technique for source localization in known
multipath acoustic environments. Unfortunately, in many situations, imperfect knowledge of …
multipath acoustic environments. Unfortunately, in many situations, imperfect knowledge of …