Research on Ship Signal Recognition under Underwater Explosion Interference Based on Wavelet Transform

Noise sources have always been a huge obstacle to the development of underwater target recognition. Based on this, this article obtains underwater target signals and explosion signals through simulation, and couples the target ship signal with the explosion signal to obtain the target ship signal containing strong noise interference. The time-frequency analysis of explosion, target, and their mixed signals is carried out through wavelet transform. The time-frequency characteristics are used to identify target signals under explosion interference. The research results have certain reference significance for underwater target recognition research.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691430
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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article

Research on Ship Signal Recognition under Underwater Explosion Interference Based on Wavelet Transform

Danni Gu, Qiang Ma, Shuang Zhao, Dongzhi Zhao et al.
Advanced Measurement and Detection Methods
article

Research on Ship Signal Recognition under Underwater Explosion Interference Based on Wavelet Transform

Danni Gu, Qiang Ma, Shuang Zhao, Dongzhi Zhao, Cean Guo
article en

Abstract

Noise sources have always been a huge obstacle to the development of underwater target recognition. Based on this, this article obtains underwater target signals and explosion signals through simulation, and couples the target ship signal with the explosion signal to obtain the target ship signal containing strong noise interference. The time-frequency analysis of explosion, target, and their mixed signals is carried out through wavelet transform. The time-frequency characteristics are used to identify target signals under explosion interference. The research results have certain reference significance for underwater target recognition research.

Shenyang Ligong University (CN)
Openalex Percentile: Top 86%
Advanced Measurement and Detection Methods
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