Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP

This paper presents an experimental validation of deep learning-based direction-of-arrival (DoA) estimation by using realistic data collected via universal software radio peripheral (USRP). Deep neural network (DNN) and convolutional neural network (CNN) structures are designed to estimate the DoA....

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Detalles Bibliográficos
Autores principales: Chung, Hyeonjin, Park, Hyunwoo, Kim, Sunwoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573347/
https://www.ncbi.nlm.nih.gov/pubmed/36236677
http://dx.doi.org/10.3390/s22197578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573347/
https://www.ncbi.nlm.nih.gov/pubmed/36236677
http://dx.doi.org/10.3390/s22197578

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