Abstract
Recently, mega-constellation plans, such as Starlink and OneWeb, have been proposed successively. Mega-constellations compose of far more satellites than traditional constellations, with a variety of satellites of different orbital altitudes and complex constellation configurations. A massive number of satellites with different orbital configurations will lead to a significant increase in the computation of the interference probability distribution, and even the failure of common PC to complete the simulation. Based on this, we propose a fast method to calculate the interference probability distribution of mega-constellations, which is especially suitable for calculating satellites with different orbital altitudes and configurations. By dividing the visible airspace of the earth station into sub-airspaces according to probability, the interference from dynamically moving satellites is characterized as the interference caused by static satellites in different sub-airspaces. The interference probability distribution is calculated by combining the occurrence probability of satellites with different orbital altitudes in the sub-airspace. The simulation results indicate that the proposed method greatly improves the computational efficiency and keeps almost the same accuracy as the traditional method. The proposed method can be used to rapidly compute the interference probability distribution of mega-constellations involving multiple orbital altitudes and configurations.
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Lin, Z., Jin, J., Yan, J., Kuang, L. (2021). Fast Calculation of the Probability Distribution of Interference Involving Multiple Mega-Constellations. In: Yu, Q. (eds) Space Information Network. SINC 2020. Communications in Computer and Information Science, vol 1353. Springer, Singapore. https://doi.org/10.1007/978-981-16-1967-0_2
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DOI: https://doi.org/10.1007/978-981-16-1967-0_2
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