IEEE

Deep Learning Approach for GNSS Jamming Detection-Based PCA and Bayesian Optimization Feature Selection Algorithm

Abstract: In Global Navigation Satellite Systems (GNSS), receivers are susceptible to various types of jammers. Detecting these jammers is crucial for developing effective antijamming techniques due ...
IEEE

Deep Reinforcement Learning-Based Anti-Jamming Rate Adaptation and Frequency Selection Algorithm for UAV Ad Hoc Networks

Abstract: In unmanned aerial vehicle (UAV) ad hoc networks, dynamic wireless channel fluctuations and malicious electromagnetic jamming may severely compromise link reliability, causing rate ...