Deep Learning Framework Using Spatial Attention Mechanisms for Adaptable Angle Estimation Across Diverse Array Configurations

Deep Learning Framework Using Spatial Attention Mechanisms for Adaptable Angle Estimation Across Diverse Array Configurations

Rapid advancement of wireless communication systems and the increasing need for accurate, real-time signal processing have driven innovations in direction-of-arrival (DoA) estimation techniques. This paper introduces a novel convolutional neural network (CNN) architecture that combines spatial atten...

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Bibliographic Details
Main Authors: Constantinos M. Mylonakis, Pantelis Velanas, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos, Zaharias D. Zaharis
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Technologies
Subjects:
direction-of-arrival (DoA) estimation
machine learning
convolutional neural networks
spatial attention
transfer learning
multiple-input multiple-output (MIMO) systems
Online Access:https://www.mdpi.com/2227-7080/13/2/46
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