DeepAoANet: Learning angle of arrival from software defined radios with deep neural networks
Direction finding and positioning systems based on RF signals are significantly impacted by multipath propagation, particularly in indoor environments. Existing algorithms (e.g MUSIC) perform poorly in resolving Angle of Arrival (AoA) in the presence of multipath or when operating in a weak signal r...
| Auteurs principaux: | , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
IEEE
2022
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