Target Classification With Overlapping Window Integration Using Wigner Ville Transform

In this study, automatic target classification was performed using underwater acoustic signals. Targets of underwater and surface ships were detected from long distances and classified using a signal integration algorithm with Wigner-Ville distribution for analyzing their noise. The proposed method...

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Bibliographic Details
Published in2023 31st Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
Main Authors Aksuren, Ibrahim Gokhan, Ozer, Erhan, Hocaoglu, Ali Koksal
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.07.2023
Subjects
Acoustic Signal Processing
Mel frequency cepstral coefficient
Recognition and Classification
Signal Integration
Sonar
Target recognition
Time-frequency analysis
Transforms
Underwater Acoustic Target
Underwater acoustics
Wigner Ville Distrubution
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Summary:In this study, automatic target classification was performed using underwater acoustic signals. Targets of underwater and surface ships were detected from long distances and classified using a signal integration algorithm with Wigner-Ville distribution for analyzing their noise. The proposed method exhibits an innovative approach by using Wigner-Ville distribution for signal integration and providing early detection and diagnosis compared to existing methods. Additionally, the Wigner-Ville distribution provides better discriminative features by separating frequency lines of targets from background noise with signal integration, which is observed as a new approach. With this proposed approach, it has been demonstrated that target classification performance improves.
DOI:10.1109/SIU59756.2023.10223815