Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment

Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment

A modified convolutional neural network (CNN) is proposed to enhance the reliability of source ranging based on acoustic field data received by a vertical array. Compared to the traditional method, the output layer is modified by outputting Gauss regression sequences, expressed using a Gaussian prob...

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Bibliographic Details
Main Authors: Xu Xiao, Wenbo Wang, Lin Su, Xinyi Guo, Li Ma, Qunyan Ren
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
vertical linear array
Gauss regression output
source ranging
convolutional neural
Online Access:https://www.mdpi.com/1424-8220/21/9/3109

Internet

https://www.mdpi.com/1424-8220/21/9/3109

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