Abstract
In the demonstration and construction process of the space-based remote sensing, communication, navigation and information integration network, there are several problems such as: the network system architecture is complex, the information fusion efficiency is low and the anti-jamming ability is poor and so on. Based on space-based cognitive radio technology, the paper proposed the method to optimize and enhance the space-based information network performance by adding cognitive satellite nodes in the network. Mathematical modeling and performance analysis results show that the space-based cognitive integrated information network can optimize network configuration, improve the task affect speed, use the data resources efficiently. Meanwhile, the method can enhance the anti-jamming performance of the entire space-based information network greatly.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, S., Wang, Hm., Wang, St., Bian, Mm. (2017). Space-Based Information Integrated Network Technology and Performance Analysis Based on Cognitive Radio. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_20
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DOI: https://doi.org/10.1007/978-3-319-52730-7_20
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