Abstract
In order to solve the system interference problem caused by beamforming technology of multi-antenna system, an anti-jamming solution based on artificial intelligence technology is proposed, and a multi antenna anti-jamming model based on artificial intelligence algorithm is constructed. PSO algorithm is adopted to train and verify the rationality, convergence ability and performance of the model. Finally, the antenna array will form a great gain in the desired direction to improve the desired signal, while it will form a zero notch at the interference direction for interference suppression. It effectively improves the SINR (signal to interference ratio) of the receiver, and then improves the system performance and increase the system capacity.
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Acknowledgements
This paper is supported by the Key laboratory of Longgang District (LGKCZSYS2018000028), the Pearl River scholar funding scheme (2016), the science and technology development center of the Ministry of Education of China (2017A15009) and a project of the Shenzhen Science and Technology Innovation Committee (JCYJ20170817114522834, JCYJ20160608151239996), Engineering Applications of the Artificial Intelligence Technology Laboratory (PT201701) Research platform and project of Department of Education of Guangdong Province (2019GGCZX009) and the Guangdong Province higher vocational colleges and schools.
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Guan, M., Wu, Z. (2021). Research on Anti-jamming Algorithm of Multi-antenna System Based on Artificial Intelligence Technology. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_7
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DOI: https://doi.org/10.1007/978-3-030-66785-6_7
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