Radio Waveforms Classification via Deep Q Learning Network
2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)(2021)
Abstract
Radio waveforms classification plays a foundation role in cognitive radio, which promises a broad prospect in spectrum monitoring and management. In this paper, a radio waveforms classification via deep Q learning is proposed, in which a deep reinforcement learning agent is trained to classify signal modulation type. Differ from the widely applied deep learning strategy, the proposed method has st...
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Key words
Deep learning,Simulation,Decision making,Modulation,Reinforcement learning,Cognitive radio,Monitoring
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