Reference : Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey |
Scientific journals : Article | |||
Engineering, computing & technology : Aerospace & aeronautics engineering Engineering, computing & technology : Electrical & electronics engineering | |||
Computational Sciences | |||
http://hdl.handle.net/10993/53760 | |||
Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey | |
English | |
Martinez Marrero, Liz ![]() | |
Merlano Duncan, Juan Carlos ![]() | |
Querol, Jorge ![]() | |
Kumar, Sumit ![]() | |
Krivochiza, Jevgenij ![]() | |
Sharma, Shree Krishna ![]() | |
Chatzinotas, Symeon ![]() | |
Camps, Adriano ![]() | |
Ottersten, Björn ![]() | |
22-Apr-2022 | |
IEEE Access | |
Institute of Electrical and Electronics Engineers | |
10 | |
45375-45409 | |
Yes | |
International | |
2169-3536 | |
Piscataway | |
United States - New Jersey | |
[en] synchronization ; distributed satellite systems ; distributed beamforming ; emote sensing ; satellite communications | |
[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. | |
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications | |
Fonds National de la Recherche - FnR | |
COHESAT | |
Researchers | |
http://hdl.handle.net/10993/53760 | |
10.1109/ACCESS.2022.3169499 | |
https://ieeexplore.ieee.org/document/9761868 | |
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 |
File(s) associated to this reference | ||||||||||||||
Fulltext file(s):
| ||||||||||||||
All documents in ORBilu are protected by a user license.