Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Accurate detection and tracking of moving targets in underwater environments pose significant challenges, because noise in acoustic measurements (e.g., SONAR) makes the signal highly stochastic. In continuous marine monitoring a further challenge is related to the computational complexity of the sig...

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Bibliographic Details
Main Authors: Alberto Testolin, Roee Diamant
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
underwater signal detection
deep learning
Viterbi algorithm
marine monitoring
acoustic detection
SONAR
Online Access:https://www.mdpi.com/1424-8220/20/10/2945

Internet

https://www.mdpi.com/1424-8220/20/10/2945

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