Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

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4
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9

초록

In active sonar systems, detection always suffers from reverberation interference from multiple scatterers in oceanic environments; therefore, numerous studies have been conducted on reverberation suppression. Recently, a non-negative matrix factorization (NMF)-based method was proposed and successfully applied to reverberation suppression. However, the conventional NMF-based method makes convergence challenging because the frequency basis matrix is initialized without considering reverberation characteristic information from oceanic environments. To solve these problems, We propose an improved NMF-based reverberation suppression method adopting a pre-trained reverberation basis matrix and modified sparse update rule. The proposed method is evaluated by analyzing simulation and sea experiment data and the study confirmed that the detection performance was improved compared to the conventional method under various signal-to-reverberation ratio conditions. Several topics are also discussed to analyze the proposed method in detail.

키워드

Reverberation; Spectrogram; Time-frequency analysis; Sonar; Matrix decomposition; Sparse matrices; Support vector machines; Active sonar; non-negative matrix factorization; reverberation suppression; pre-trained basis matrix; sparseness
제목
Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
저자
Kim, Geunhwan; Lee, Seokjin
DOI
10.1109/ACCESS.2021.3124509
발행일
2021
유형
Article
저널명
IEEE Access
권
9
페이지
148060 ~ 148075