Research on satellite network analysis methods for spatiotemporal  characteristics

Bo-ren Hu; Zhong-min Pei; Zhang-kai Luo; Jie Ding

doi:10.1117/12.2638876

17 May 2022 Research on satellite network analysis methods for spatiotemporal characteristics

Bo-ren Hu, Zhong-min Pei, Zhang-kai Luo, Jie Ding

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122590D (2022) https://doi.org/10.1117/12.2638876
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

Analyzing the connectivity of satellite network and mining the important nodes are important research content to optimize the structure design of satellite network and analyze the characteristics of space targets. The spatiotemporal characteristics of large-scale and high dynamics are the most typical characteristics of satellite network. This paper proposes an analysis method for the spatiotemporal characteristics of satellite network, using spatiotemporal graph model to sample discrete in the time dimension and using complex network theory to structural modeling and characteristic analysis in the spatial dimension. Completes the experimental verification based on open-source satellite TLE files of the BDS constellation and the GPS constellation, analyzes the topology of 146 networks. Draw some conclusions including BDS satellite network has high connectivity, the satellites number 7,8,13 and 30 are important in GPS satellites network and others, our research provides a reliable method and technical reference for studying satellite network performance and the research on mining important nodes.

Citation Download Citation

Bo-ren Hu, Zhong-min Pei, Zhang-kai Luo, and Jie Ding "Research on satellite network analysis methods for spatiotemporal characteristics", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122590D (17 May 2022); https://doi.org/10.1117/12.2638876

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