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

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 successf...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Geunhwan Kim, Seokjin Lee
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Active sonar non-negative matrix factorization reverberation suppression pre-trained basis matrix sparseness Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/5541a2e00624451ea7067bb5807227ba
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5541a2e00624451ea7067bb5807227ba
record_format	dspace
spelling	oai:doaj.org-article:5541a2e00624451ea7067bb5807227ba2021-11-18T00:04:56ZReverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix2169-353610.1109/ACCESS.2021.3124509https://doaj.org/article/5541a2e00624451ea7067bb5807227ba2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9597496/https://doaj.org/toc/2169-3536In 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.Geunhwan KimSeokjin LeeIEEEarticleActive sonarnon-negative matrix factorizationreverberation suppressionpre-trained basis matrixsparsenessElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 148060-148075 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Active sonar non-negative matrix factorization reverberation suppression pre-trained basis matrix sparseness Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Active sonar non-negative matrix factorization reverberation suppression pre-trained basis matrix sparseness Electrical engineering. Electronics. Nuclear engineering TK1-9971 Geunhwan Kim Seokjin Lee Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
description	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.
format	article
author	Geunhwan Kim Seokjin Lee
author_facet	Geunhwan Kim Seokjin Lee
author_sort	Geunhwan Kim
title	Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
title_short	Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
title_full	Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
title_fullStr	Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
title_full_unstemmed	Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix
title_sort	reverberation suppression method for active sonar systems using non-negative matrix factorization with pre-trained frequency basis matrix
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/5541a2e00624451ea7067bb5807227ba
work_keys_str_mv	AT geunhwankim reverberationsuppressionmethodforactivesonarsystemsusingnonnegativematrixfactorizationwithpretrainedfrequencybasismatrix AT seokjinlee reverberationsuppressionmethodforactivesonarsystemsusingnonnegativematrixfactorizationwithpretrainedfrequencybasismatrix
_version_	1718425225653125120

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

Ejemplares similares