High-Resolution Multiple-Source 2D DOA Estimation Using Convolutional Neural Network With Robustness to Array Imperfections

In this paper, we present an efficient convolutional neural network (CNN)-based model to estimate both elevation and azimuth arrival angles of multiple sources with high resolution (small source angular separation). The sources are considered closely spaced in both elevation and azimuth up to 0.5&am...

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Bibliographic Details
Main Authors:	Tarek Sallam, Qun Wang, Ahmed M. Attiya
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	2D DOA estimation array imperfections convolutional neural network deep learning MUSIC algorithm
Online Access:	https://ieeexplore.ieee.org/document/10713319/
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High-Resolution Multiple-Source 2D DOA Estimation Using Convolutional Neural Network With Robustness to Array Imperfections

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