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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Autors principals:	Seungwoo Lee, Iksu Seo, Jongwon Seok, Yunsu Kim, Dong Seog Han
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-11-01
Col·lecció:	Applied Sciences
Matèries:	target classification active sonar MFCC PNCC convolutional neural network
Accés en línia:	https://www.mdpi.com/2076-3417/10/23/8450
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