TY - GEN
T1 - Radio Frequency Transformer and Reinforcement Learning-Based Adaptive Interference Mitigation for Aviation Communication Systems
AU - Malik, Adnan
AU - Rao, Muzaffar
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Reliable and interference-free communication is critical for aviation systems operating in complex Radio Frequency (RF) environments. This paper presents an RF-Transformer and Reinforcement Learning (RL)-Based Adaptive Interference Mitigation System to enhance the robustness of aviation communication. A Vision Transformer (ViT), fine-tuned on spectrogram representations of RF signals, is employed for real time interference classification. To mitigate detected interference, a Deep Q-Network (DQN) RF agent dynamically selects optimal countermeasures, including frequency hopping, adaptive filtering, and power adjustment, to enhance SNR and minimize transmission interruptions. The findings validate the framework's capacity to correctly identify interference categories and apply suitable mitigation, supporting reliable communication in aviation settings.
AB - Reliable and interference-free communication is critical for aviation systems operating in complex Radio Frequency (RF) environments. This paper presents an RF-Transformer and Reinforcement Learning (RL)-Based Adaptive Interference Mitigation System to enhance the robustness of aviation communication. A Vision Transformer (ViT), fine-tuned on spectrogram representations of RF signals, is employed for real time interference classification. To mitigate detected interference, a Deep Q-Network (DQN) RF agent dynamically selects optimal countermeasures, including frequency hopping, adaptive filtering, and power adjustment, to enhance SNR and minimize transmission interruptions. The findings validate the framework's capacity to correctly identify interference categories and apply suitable mitigation, supporting reliable communication in aviation settings.
KW - Adaptive Interference Mitigation
KW - Aviation Communication
KW - Radio Frequency Interference (RFI)
KW - Reinforcement Learning (RL)
KW - Vision Transformer
UR - https://www.scopus.com/pages/publications/105032441431
U2 - 10.1109/ISSC67739.2025.11291303
DO - 10.1109/ISSC67739.2025.11291303
M3 - Conference contribution
AN - SCOPUS:105032441431
T3 - Irish Signals and Systems Conference: Signalling our Strength, ISSC 2025
BT - Irish Signals and Systems Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th Irish Signals and Systems Conference, ISSC 2025
Y2 - 9 June 2025 through 10 June 2025
ER -