Abstract
In this paper, a distributed satellite cooperative beamforming algorithm is proposed for the satellite cluster formed by multiple distributed formation flying satellites in the space information network. The average pattern function of distributed formation satellites is derived based on random antenna array theory. On this basis, a multiobjective optimization is formulated to enhance the transmit signal in the desired direction while suppress the interference in the undesired direction via nondominated sorting genetic algorithm II (NSGA-II). The simulation results show that the proposed method extends the distributed and cooperative beamforming technology to the research field of space information network and enhances the electromagnetic wave transceiver capability of resource-constrained satellite systems.
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The work presented in this paper is partially supported by the National Science Foundation of China (No. 91738201, No. 61801445, No. 61971440). However, any opinion, finding, and conclusions or recommendations expressed in this material; are those of the author and do not necessarily reflect the views of the National Science Foundation.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xi, B., Hong, T., Zhang, G. (2019). Multiobjective Collaborative Beamforming for a Distributed Satellite Cluster via NSGA-II. In: Zheng, J., Li, C., Chong, P., Meng, W., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-030-37262-0_21
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DOI: https://doi.org/10.1007/978-3-030-37262-0_21
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