Modulation classification method integrating knowledge graph and deep learning
Haowei Yang,
Xiaohe Chen,
Shufang Li
Abstract:In the field of modulation classification, training complex deep learning models incurs high costs. And the overall algorithm's generalization is generally low, which indicates that the models trained by signal data with specific fading channel and signal-to-noise ratio(SNR) struggle to classify modulation schemes under different fading channel and SNR conditions. In this paper, a novel modulation classification method combining knowledge graphs and deep learning is proposed. Artificial neural network(ANN) mod… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.