Anti-Reactive Jamming Technology Based on Jamming Utilization

• Xin Liu,
• Mingcong Zeng,
• Yarong Liu,
• Mei Wang,
• Xiyu Song,

Vol. 17, No. 10, October 31, 2023
10.3837/tiis.2023.10.016, Download Paper (Free):

• Jamming Utilization
• anti-jamming
• Anti-Intelligent Jamming
• Deep Learning
• Spectrum Waterfall

Abstract

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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