Multihydrophone Fusion Network for Modulation Recognition

Deep learning (DL)-based modulation recognition methods of underwater acoustic communication signals are mostly applied to a single hydrophone reception scenario. In this paper, we propose a novel end-to-end multihydrophone fusion network (MHFNet) for multisensory reception scenarios. MHFNet consist...

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Detalles Bibliográficos
Autores principales: Wang, Haiwang, Wang, Bin, Wu, Lulu, Tang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103318/
https://www.ncbi.nlm.nih.gov/pubmed/35590903
http://dx.doi.org/10.3390/s22093214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103318/
https://www.ncbi.nlm.nih.gov/pubmed/35590903
http://dx.doi.org/10.3390/s22093214

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