Deep Learning Based Satellite Communication Anti-Jamming System

Due to the openness of the transmission medium, it is necessary for satellite communication systems to have anti-jamming abilities. The research content of this topic is mainly divided into the modeling of satellite communication channels with interference and communication anti-jamming technology based on specific sources and universal sources. Then, we link disturbance resources to anti-disturbance measures through disturbance motivation and behavioral learning processes to create an algorithm. The constructed algorithm ultimately achieves a maximum hopping rate of 1hop/s, an algorithmic feedback time of no more than 1s and an average algorithmic anti-jamming improvement of more than 50% compared to no anti-jamming method.