A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network
This article aims to constitute a noteworthy contribution to the domain of direction-of-arrival (DoA) estimation through the application of deep learning algorithms. We approach the DoA estimation challenge as a binary classification task, employing a novel grid in the output layer and a deep convol...
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Main Authors: | Constantinos M. Mylonakis, Zaharias D. Zaharis |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Open Journal of Vehicular Technology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10504989/ |
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