Reference : Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53760

Title :	Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey
Language :	English
Author, co-author :	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) > >]
Publication date :	22-Apr-2022
Journal title :	IEEE Access
Publisher :	Institute of Electrical and Electronics Engineers
Volume :	10
Pages :	45375-45409
Peer reviewed :	Yes
Audience :	International
ISSN :	2169-3536
City :	Piscataway
Country :	United States - New Jersey
Keywords :	[en] synchronization ; distributed satellite systems ; distributed beamforming ; emote sensing ; satellite communications
Abstract :	[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.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	COHESAT
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/53760
DOI :	10.1109/ACCESS.2022.3169499
Other URL :	https://ieeexplore.ieee.org/document/9761868
FnR project :	FnR ; FNR11689919 > Juan Merlano Duncan > COHESAT > Cognitive Cohesive Networks Of Distributed Units For Active And Passive Space Applications > 01/03/2018 > 31/08/2021 > 2017

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