Deep Reinforcement Learning-Based Anti-Jamming Algorithm Using Dual Action Network

Li, Xiangchen; Chen, Jienan; Ling, Xiang; Wu, Tingyong

doi:10.1109/twc.2022.3227575

Cited by 4 publications

(1 citation statement)

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“…Considering the difficulty of obtaining the state information of the jammer, reinforcement learning (RL) [6][7] and deep reinforcement learning (DRL) [8][9][10][11] are introduced to solve the problem of anti-intelligent jamming. In [8], the authors propose a fast anti-jamming algorithm based on intra-domain knowledge reuse against dynamic unknown jamming, while in [9], a deep reinforcement learning algorithm based on Dual Action Network is proposed and verified in the field environment. Although the above research can avoid slow reactive jamming, it has certain limitations in dealing with high-speed reactive jamming.…”

Section: Introductionmentioning

confidence: 99%

Anti-Reactive Jamming Technology Based on Jamming Utilization

2023

KSII TIIS

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Since the existing anti-jamming methods, including intelligent methods, have difficulty against high-speed reactive jamming, we studied a new methodology for jamming utilization instead of avoiding jamming. Different from the existing jamming utilization techniques that harvest energy from the jamming signal as a power supply, our proposed method can take the jamming signal as a favorable factor for frequency detection. Specifically, we design an intelligent differential frequency hopping communication framework (IDFH), which contains two stages of training and communication. We first adopt supervised learning to get the jamming rule during the training stage when the synchronizing sequence is sent. And then, we utilize the jamming rule to improve the frequency detection during the communication stage when the real payload is sent. Simulation results show that the proposed method successfully combated high-speed reactive jamming with different parameters. And the communication performance increases as the power of the jamming signal increase, hence the jamming signal can help users communicate in a low signal-to-noise ratio (SNR) environment.

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