SAIFALDAWLA, Almoatssimbillah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
ORTIZ GOMEZ, Flor de Guadalupe ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
LAGUNAS, Eva ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
DAOUD, Saed Shaheer Awad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
NGSO-To-GSO Satellite Interference Detection Based on Autoencoder
Date de publication/diffusion :
2023
Nom de la manifestation :
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Organisateur de la manifestation :
IEEE
Lieu de la manifestation :
Toronto, Canada
Date de la manifestation :
from 05-09-2023 to 08-09-2023
Manifestation à portée :
International
Titre de l'ouvrage principal :
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, Sept. 2023
Maison d'édition :
IEEE
Pagination :
7
Peer reviewed :
Peer reviewed
Projet FnR :
FNR16193290 - Leveraging Artificial Intelligence To Empower The Next Generation Of Satellite Communications, 2021 (01/09/2022-31/08/2025) - Eva Lagunas
Intitulé du projet de recherche :
U-AGR-7111 - C21/IS/16193290/SmartSpace - LAGUNAS Eva
Organisme subsidiant :
FNR - Luxembourg National Research Fund
N° du Fonds :
C21/IS/16193290
Subventionnement (détails) :
This work is financially supported by the Luxembourg National Research Fund (FNR) under the project SmartSpace (C21/IS/16193290).
Dataset Description: Time series of received signal (time and frequency domain)
Commentaire :
This dataset has been used in this work (please cite this reference in your work if you make use of this dataset):
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P. Henarejos, M. A. Vazquez and A. I. Perez-Neira, "Deep Learning for Experimental Hybrid Terrestrial and Satellite Interference Management," 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019
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CelesTrak: Current GP Element Sets https://celestrak.org/NORAD/ elements, accessed April 2023
G. N. Watson, "A Treatise on the Theory of Bessel Functions," Cambridge University Press, 1922
Satellite frequency bands" https://www.esa.int/Applications/ Telecommunications Integrated Applications/Satellite frequency bands.accessed May 2023.
Application for Fixed Satellite Service by Space Exploration Holdings, LLC", SAT-LOA-20200526-00055 / SATLOA2020052600055, Filed By William Wiltshire https://fcc.report/IBFS/SAT-LOA-20200526-00055, accessed May 2023
P. D. Welch, "The use of fast Fourier transforms for the estimation of power spectra: A method based on time averaging over short modified periodograms," IEEE Transactions on Audio and Electroacoustics, vol. 15, pp. 70-73, 1967
Goodfellow, Y. Bengio and A. Courville, Deep Learning, Cambridge, MA, USA:MIT Press, 2016. Chapter 14, Autoencoders
