Design of Deep Learning Acoustic Sonar Receiver with Temporal/ Spatial Underwater Channel Feature Extraction Capability

Design of Deep Learning Acoustic Sonar Receiver with Temporal/ Spatial Underwater Channel Feature Extraction Capability

In this study, deep learning network technology is employed to solve the problem of rapid changes in underwater channels. The modulation techniques employed are frequency-shift keying (FSK) and the BELLHOP module of MATLAB; they are used to create water with multipath, Doppler shifts, and additive...

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Bibliographic Details
Main Authors: Chih-Ta Yen, Un-Hung Chen
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2024-02-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
underwater acoustic
deep learning
frequency-shift keying (FSK)
feature extraction
virtual time reversal mirror (VTRM)
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/13057

Internet

https://ojs.imeti.org/index.php/IJETI/article/view/13057

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