Article (Périodiques scientifiques)
Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey
MARTINEZ MARRERO, Liz; MERLANO DUNCAN, Juan Carlos; QUEROL, Jorge et al.
2022In IEEE Access, 10, p. 45375-45409
Peer reviewed vérifié par ORBi
 

Documents


Texte intégral
Marrero et al. - 2022 - Architectures and Synchronization Techniques for Distributed Satellite Systems A Survey.pdf
Postprint Éditeur (3.18 MB)
Télécharger

Tous les documents dans ORBilu sont protégés par une licence d'utilisation.

Envoyer vers



Détails



Mots-clés :
synchronization; distributed satellite systems; distributed beamforming; emote sensing; satellite communications
Résumé :
[en] Cohesive Distributed Satellite Systems (CDSSs) is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSSs. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSSs. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for Distributed Satellite Systems (DSSs). First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSSs in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on Machine Learning (ML). Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.
Centre de recherche :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications
Disciplines :
Ingénierie aérospatiale
Ingénierie électrique & électronique
Auteur, co-auteur :
MARTINEZ MARRERO, Liz  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
MERLANO DUNCAN, Juan Carlos  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
QUEROL, Jorge  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
KUMAR, Sumit ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
KRIVOCHIZA, Jevgenij  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
SHARMA, Shree Krishna ;  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
Camps, Adriano;  Universitat Politècnica de Catalunya (UPC) > Department of Signal Theory and Communications ; Institut d'Etudis de Catalunya
OTTERSTEN, Björn  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey
Date de publication/diffusion :
22 avril 2022
Titre du périodique :
IEEE Access
ISSN :
2169-3536
Maison d'édition :
Institute of Electrical and Electronics Engineers, Piscataway, Etats-Unis - New Jersey
Volume/Tome :
10
Pagination :
45375-45409
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Computational Sciences
Projet FnR :
FNR11689919 - Cognitive Cohesive Networks Of Distributed Units For Active And Passive Space Applications, 2017 (01/03/2018-31/08/2021) - Juan Merlano Duncan
Intitulé du projet de recherche :
COHESAT
Organisme subsidiant :
FNR - Fonds National de la Recherche
Disponible sur ORBilu :
depuis le 13 janvier 2023

Statistiques


Nombre de vues
263 (dont 11 Unilu)
Nombre de téléchargements
159 (dont 8 Unilu)

citations OpenAlex
 
31
citations WoS
 
33

Bibliographie


Publications similaires



Contacter ORBilu