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A Novel Approach to 3D-DOA Estimation of Stationary EM Signals Using Convolutional Neural Networks
This paper proposes a novel three-dimensional direction-of-arrival (3D-DOA) estimation method for electromagnetic (EM) signals using convolutional neural networks (CNN) in a Gaussian or non-Gaussian noise environment. First of all, in the presence of Gaussian noise, four output covariance matrices o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285076/ https://www.ncbi.nlm.nih.gov/pubmed/32408661 http://dx.doi.org/10.3390/s20102761 |