Gru-Based Anti-Jamming Dynamic Frequency Hopping Strategy Optimization

In complex and dynamically changing environments, intelligent reconnaissance and jamming techniques employed by frequency hopping jamming systems pose significant challenges for maintaining stable communications. To address the challenge of dynamic anti-jamming, this paper proposes an adaptive dynamic frequency hopping strategy optimization capable of adjusting the frequency hopping in response to jamming. A GRU-based prediction model is utilized by the strategy to predict jamming frequency points. Jamming frequency intervals are effectively avoided, and the Lempel-Greenberger bound is satisfied by the dynamic frequency hopping strategy, thereby achieving dynamic anti-jamming performance. Simulation results show that our proposed GRU-based prediction model achieves higher prediction accuracy compared to existing approaches.