An anti-jamming hybrid beamforming system designed based on support vector machine algorithm

Xu Lei; Zang Yuejin; Zhou Xinyao; Liu Guanfa; Zhou Lisha

doi:10.11884/HPLPB202133.210235

Volume 33 Issue 12

Dec. 2021

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Xu Lei, Zang Yuejin, Zhou Xinyao, et al. An anti-jamming hybrid beamforming system designed based on support vector machine algorithm[J]. High Power Laser and Particle Beams, 2021, 33: 123020. doi: 10.11884/HPLPB202133.210235

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Xu Lei, Zang Yuejin, Zhou Xinyao, et al. An anti-jamming hybrid beamforming system designed based on support vector machine algorithm[J]. High Power Laser and Particle Beams, 2021, 33: 123020. doi: 10.11884/HPLPB202133.210235

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An anti-jamming hybrid beamforming system designed based on support vector machine algorithm

doi: 10.11884/HPLPB202133.210235

Shanghai Institute of Mechanical and Electrical Engineering, Shanghai 210000, China

Received Date: 2021-06-11
Rev Recd Date: 2021-11-06

Available Online: 2021-11-16

Publish Date: 2021-12-15

Abstract

Abstract

A low-cost adaptive beamforming system is designed to solve the space radiation interference problem of millimeter wave communication in complex electromagnetic environment. Firstly, the communication system model in complex electromagnetic environment and the objective function are established. Then, the support vector machine algorithm in machine learning is used to simplify the objective function to obtain the ideal coding vector. Finally, the gradient pursuit algorithm is used to build sparse reconstruction of the ideal beam vector to achieve low-cost anti-jamming beam. Simulation results show that the proposed beamforming system can effectively suppress the interference and improve the communication quality.
- anti-jamming,
- beamforming,
- support vector machine,
- sparse reconstruct,
- gradient pursuit

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References(17)

References

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