A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network

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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Bibliographic Details
Main Authors: Constantinos M. Mylonakis, Zaharias D. Zaharis
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Direction-of-arrival (DoA) estimation
convolutional neural network (CNN)
deep learning (DL)
binary classification
antenna array analysis and synthesis
spatial signal processing
Online Access:https://ieeexplore.ieee.org/document/10504989/
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