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Occurrence probability of co-frequency interference and system availability of non-geostationary satellite system in global dynamic scene |
| JIN Jin1, LI Yaqiang2, ZHANG Chen1, KUANG Linling1, YAN Jian1 |
1. Tsinghua Space Center, Tsinghua University, Beijing 100084, China;
2. School of Aerospace Engineering, Tsinghua University, Beijing 100084, China |
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Abstract With the increase in the number of non-geostationary orbit (NGSO) satellite systems, the interference between NGSO satellite systems using the same frequency has become increasingly prominent. Because of the large number and time-vary relative motion of NGSO systems, the traditional interference analysis methods and evaluation index, which are aiming for geostationary orbit (GSO) satellite systems, are no longer suitable for NGSO scene. Based on the relevant rules and recommendations of the International Telecommunication Union, this paper establishes a mathematical model of the interference analysis for non-geostationary satellite systems, and proposes a link angle probabilistic analysis method for satellite constellation interference analysis. Aiming at the complicated features such as the large number of satellites consisting of NGSO constellations and the changing temporal and spatial relationship, the scheme of NGSO constellation global interference analysis is given. The probability calculation method of harmful interference between satellite constellations and the index of satellite constellation usability are proposed. On the basis of the actual satellite network data, taking OneWeb system and O3b system as an example, the range of the link angle of the interference protection between the satellite systems is calculated. The angle of the satellite link, the interference state and the probability distribution of the availability ratio on a global scale are given, provides a means for NGSO constellation interference analysis.
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| Keywords
satellite communication
non-geostationary orbit satellite
interference analysis
modeling and simulation
link angle probabilitic analysis
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Issue Date: 19 September 2018
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2018,
Vol. 58
