Cluster-aware channel estimation with deep learning method in deep-water acoustic communications.

Wang, Diya; Zhang, Yonglin; Tai, Yupeng; Wu, Lixin; Wang, Haibin; Wang, Jun; Luo, Wenyu; Meriaudeau, Fabrice; Yang, Fan

Wang, Diya; Zhang, Yonglin; Tai, Yupeng; Wu, Lixin; Wang, Haibin; Wang, Jun; Luo, Wenyu; Meriaudeau, Fabrice; Yang, Fan.

Afiliação

Wang D; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Zhang Y; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Tai Y; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Wu L; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Wang H; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Wang J; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Luo W; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Meriaudeau F; Institut de Chimie Moléculaire, Unité Mixte de Recherche, Centre National de la Recherche Scientifique 6302, University of Burgundy, 21078 Dijon, France.
Yang F; Laboratoire Interdisciplinaire Carnot de Bourgogne, Unité Mixte de Recherche, Centre National de la Recherche Scientifique 6303, University of Burgundy, 21078 Dijon, France.

J Acoust Soc Am ; 154(3): 1757-1769, 2023 Sep 01.

Article em En | MEDLINE | ID: mdl-37721402

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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