Postprocessing method using reverberation smoothing and Wiener mask for active sonar reverberation suppression algorithm based on non-negative matrix factorization

Seokjin Lee

doi:10.7776/ASK.2025.44.6.608

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2025 Vol.44, Issue 6 Preview Page Next Page

Research Article

Postprocessing method using reverberation smoothing and Wiener mask for active sonar reverberation suppression algorithm based on non-negative matrix factorization 잔향 평활화와 위너 마스크를 활용한 비음수 행렬 분해 기반 능동소나 잔향제거 기법의 후처리 방법

30 November 2025. pp. 608-619

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Abstract

In this paper, we present a study on improving the performance of active sonar reverberation suppression based on Non-negative Matrix Factorization (NMF). NMF is a technique that decomposes a non- negative matrix into the product of two non-negative matrices. In reverberation suppression, this method decomposes the magnitude spectrogram of the input signal into two components: the target echo and the reverberation matrices. While conventional approaches utilize only the separated target echo matrix to recover the desired signal, this study proposes a post-processing method that utilizes both the target echo and reverberation components to enhance reverberation suppression performance. Specifically, the proposed method smooths the reverberation component and constructs a Wiener mask to suppress reverberation. The effectiveness of the proposed method was verified through simulations, demonstrating an improvement in the signal-to-noise ratio of up to 4 dB compared to conventional techniques.

Keywords

Active sonar

Reverberation suppression

Non-negative Matrix Factorization (NMF)

Postprocessing

본 논문에서는 비음수 행렬 분해 기반의 능동 소나 잔향 제거 기법의 성능을 개선하는 연구를 진행하였다. 비음수 행렬 분해 기법은 하나의 비음수 행렬을 두 비음수 행렬의 곱으로 분해하는 기법으로, 잔향 제거 기법에서는 이를 활용하여 입력 신호의 크기 스펙트로그램을 두 행렬 성분, 즉 표적 반향 성분과 잔향 성분으로 분리한다. 기존의 기법에서는 이와 같이 분리된 표적 반향 성분만을 이용하여 원하는 신호를 획득하는 반면, 본 연구에서는 표적 반향 성분과 잔향 성분을 모두 활용하여 잔향 제거 성능을 더욱 향상시키는 후처리 기법에 대해 연구하였으며, 이를 달성하기 위하여 잔향 성분을 평활화하고 위너 마스크를 구성하여 잔향을 제거하는 기법을 제안한다. 본 연구에서는 제안하는 기법의 효과를 검증하기 위하여 시뮬레이션을 진행하였으며, 기존 기법 대비 최대 4 dB의 신호대잡음비 향상을 얻을 수 있었다.

키워드

능동 소나

잔향 제거

비음수 행렬 분해

후처리

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Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 44
No :6
Pages :608-619
Received Date : 2025-08-26
Accepted Date : 2025-10-10
DOI :https://doi.org/10.7776/ASK.2025.44.6.608

The Journal of the Acoustical Society of KoreaISSN:1225-4428(Print) 2287-3775(Online)한국음향학회

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