Active Sonar Target Classification with Power-Normalized Cepstral Coefficients and Convolutional Neural Network

Active Sonar Target Classification with Power-Normalized Cepstral Coefficients and Convolutional Neural Network

Detection and classification of unidentified underwater targets maneuvering in complex underwater environments are critical for active sonar systems. In previous studies, many detection methods were applied to separate targets from the clutter using signals that exceed a preset threshold determined...

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Bibliographic Details
Main Authors: Seungwoo Lee, Iksu Seo, Jongwon Seok, Yunsu Kim, Dong Seog Han
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
target classification
active sonar
MFCC
PNCC
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/10/23/8450

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https://www.mdpi.com/2076-3417/10/23/8450

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