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Artificial neural network-based sparse channel estimation for V2V communication systems Cover

Artificial neural network-based sparse channel estimation for V2V communication systems

Journal of Electrical Engineering
Volume 75 (2024): Issue 4 (August 2024)
By: Eman Abdel Rahim,  Mohamed Hassan Essai and  Ehab K. I. Hamad  
Open Access
|Aug 2024

Authors

Eman Abdel Rahim

emanrashedy111@gmail.com

Upper Egypt Electricity Distribution Company, Luxor, Egypt
Depatrtment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, Egypt

Mohamed Hassan Essai

mhessai@azhar.edu.eg

Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Qena, Egypt

Ehab K. I. Hamad

e.hamad@aswu.edu.eg

Depatrtment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, Egypt
DOI: https://doi.org/10.2478/jee-2024-0035 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 285 - 296
Submitted on: May 10, 2024
|
Published on: Aug 9, 2024
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
artificial neural networks,
time reversal,
orthogonal frequency division multiplexing,
channel estimation,
compressive sensing,
simultaneous orthogonal matching pursuit
Related subjects:
Engineering,
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© 2024 Eman Abdel Rahim, Mohamed Hassan Essai, Ehab K. I. Hamad, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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