Off-Grid DOA Estimation Based on Circularly Fully Convolutional Networks (CFCN) Using Space-Frequency Pseudo-Spectrum

Low-frequency multi-source direction-of-arrival (DOA) estimation has been challenging for micro-aperture arrays. Deep learning (DL)-based models have been introduced to this problem. Generally, existing DL-based methods formulate DOA estimation as a multi-label multi-classification problem. However,...

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Detalles Bibliográficos
Autores principales: Zhang, Wenqiong, Huang, Yiwei, Tong, Jianfei, Bao, Ming, Li, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070975/
https://www.ncbi.nlm.nih.gov/pubmed/33919903
http://dx.doi.org/10.3390/s21082767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070975/
https://www.ncbi.nlm.nih.gov/pubmed/33919903
http://dx.doi.org/10.3390/s21082767

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