Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation
As the rapid deployment of low earth orbit (LEO) mega-constellations and the swift growth of satellite Internet unfolds, distributed satellite systems composed of a large number of LEO satellites become a significant feature of the space-air-ground integrated networks. In satellite networks, low-cos...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2024-06-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024161/ |
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author | YAN Bing ZHAO Yafei FANG Yiming PENG Mugen LIN Guangrong |
author_facet | YAN Bing ZHAO Yafei FANG Yiming PENG Mugen LIN Guangrong |
author_sort | YAN Bing |
collection | DOAJ |
description | As the rapid deployment of low earth orbit (LEO) mega-constellations and the swift growth of satellite Internet unfolds, distributed satellite systems composed of a large number of LEO satellites become a significant feature of the space-air-ground integrated networks. In satellite networks, low-cost, high-precision time synchronization technology is one of the core technologies.The distributed timing synchronization problem of LEO communication constellations, influenced by the high dynamics and temporally varying topological structures of low orbit satellites was focused on. Considering the communication delay characteristics in the LEO satellite scenario, and addressing the deficiencies in synchronization accuracy and convergence speed of existing methods in dynamic network topologies, a timing synchronization method based on maximum likelihood estimation for LEO satellites was proposed. This method effectively solves the problem of unpredictable random communication delays and asymmetric inter-satellite distances in distributed dynamic networks. The simulation results show that the synchronization error of the time synchronization method based on maximum likelihood estimation is less than 5 ns under the dynamic scenario and topology of LEO satellites. |
format | Article |
id | doaj-art-71a3efb96abe4ad5a74c8ffa3fea5a63 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2024-06-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-71a3efb96abe4ad5a74c8ffa3fea5a632025-01-15T03:33:33ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-06-0140606864852433Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimationYAN BingZHAO YafeiFANG YimingPENG MugenLIN GuangrongAs the rapid deployment of low earth orbit (LEO) mega-constellations and the swift growth of satellite Internet unfolds, distributed satellite systems composed of a large number of LEO satellites become a significant feature of the space-air-ground integrated networks. In satellite networks, low-cost, high-precision time synchronization technology is one of the core technologies.The distributed timing synchronization problem of LEO communication constellations, influenced by the high dynamics and temporally varying topological structures of low orbit satellites was focused on. Considering the communication delay characteristics in the LEO satellite scenario, and addressing the deficiencies in synchronization accuracy and convergence speed of existing methods in dynamic network topologies, a timing synchronization method based on maximum likelihood estimation for LEO satellites was proposed. This method effectively solves the problem of unpredictable random communication delays and asymmetric inter-satellite distances in distributed dynamic networks. The simulation results show that the synchronization error of the time synchronization method based on maximum likelihood estimation is less than 5 ns under the dynamic scenario and topology of LEO satellites.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024161/low earth orbit satellitedistributed satellite systemtime synchronizationmaximum likelihood estimation |
spellingShingle | YAN Bing ZHAO Yafei FANG Yiming PENG Mugen LIN Guangrong Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation Dianxin kexue low earth orbit satellite distributed satellite system time synchronization maximum likelihood estimation |
title | Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation |
title_full | Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation |
title_fullStr | Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation |
title_full_unstemmed | Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation |
title_short | Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation |
title_sort | research on distributed time synchronization methods for leo communication constellations based on maximum likelihood estimation |
topic | low earth orbit satellite distributed satellite system time synchronization maximum likelihood estimation |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024161/ |
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