Abstract
Broadband low earth orbit (LEO) satellite communication systems are increasingly deployed in recent years. The stronger user-renceived signal power of LEO satellites and the rapid changes in constellation geometry have been realized to improve navigation performance. This makes the use of LEO satellites to construct the next-generation global satellite navigation system a hot research topic. In order to solve the problem that the new generation of LEO constellations need to fusion with multiple services of communication and navigation, a hybrid constellations design method with the objective of the minimum number of satellites and the optimal geometric dilution of precision (GDOP) is proposed. Based on the genetic algorithm (GA), comprehensively considering the global user distribution model and the space constraints of the Van Allen radiation belt, the optimal hybrid constellations are designed to fusion communication and navigation using Walker Star and Walker Delta constellation. In our optimized constellations shows that the number of LEO satellites required in the hybrid constellations has been reduced by 6.25% and the global average GDOP has been improved by 41.41%. When the number of LEO satellites increased, 100% allocation was realized in user-intensive areas, and the constellation global average GDOP increased by 25.69%.
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Acknowledgments
This study is funded by National Natural Science Foundation of China (No. U20A0193 and No. 62003354).
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Huang, J. et al. (2021). Optimal Design of LEO Constellation for Communication and Navigation Fusion Based on Genetic Algorithm. In: Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC 2021) Proceedings. Lecture Notes in Electrical Engineering, vol 773. Springer, Singapore. https://doi.org/10.1007/978-981-16-3142-9_9
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DOI: https://doi.org/10.1007/978-981-16-3142-9_9
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