3D Direction of Arrival Estimation: An Innovative Deep Neural Network Approach

Constantinos M. Mylonakis, Pantelis Velanas, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos, Zaharias D. Zaharis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The recent integration of neural networks into the domain of direction of arrival estimation marks a promising frontier in the landscape of next-generation wireless communications. Our paper meticulously delves into the architecture of the proposed deep convolutional neural network (DCNN), presenting a novel framework designed to streamline the classification process within the output layer. Operating on correlation matrices created by signals received by a 4 × 4 planar antenna array, our DCNN predicts angles of arrival in 3D space. We assess the model’s performance in scenarios involving the simultaneous reception of signals, employing the mean absolute error as a metric to gauge prediction errors in the angle domain. The simulation results affirm the superior performance of the proposed deep learning-based scheme. The model’s robustness is rigorously examined across various validation cases, providing conclusive evidence of its potential in real-world applications.

Original languageEnglish
Title of host publication2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9798350385427
ISBN (Print)9798350385434
DOIs
Publication statusPublished - 6 Aug 2024
Event13th International Conference on Modern Circuits and Systems Technologies - Sofia, Bulgaria
Duration: 26 Jun 202428 Jun 2024
Conference number: 13

Publication series

NameInternational Conference on Modern Circuits and Systems Technologies
PublisherIEEE
Volume2024
ISSN (Print)2993-4435
ISSN (Electronic)2993-4443

Conference

Conference13th International Conference on Modern Circuits and Systems Technologies
Abbreviated titleMOCAST 2024
Country/TerritoryBulgaria
CitySofia
Period26/06/2428/06/24

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