Research Article
Research on Anti-jamming Algorithm of Multi-antenna System Based on Artificial Intelligence Technology
@INPROCEEDINGS{10.1007/978-3-030-66785-6_7, author={Mingxiang Guan and Zhou Wu}, title={Research on Anti-jamming Algorithm of Multi-antenna System Based on Artificial Intelligence Technology}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={Multi-antenna system Artificial intelligence Particle swarm optimization algorithm}, doi={10.1007/978-3-030-66785-6_7} }- Mingxiang Guan
Zhou Wu
Year: 2021
Research on Anti-jamming Algorithm of Multi-antenna System Based on Artificial Intelligence Technology
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_7
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.
