2023
DOI: 10.3390/e25071096
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Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication

Abstract: Automatic modulation classification (AMC) of underwater acoustic communication signals is of great significance in national defense and marine military. Accurate modulation classification methods can make great contributions to accurately grasping the parameters and characteristics of enemy communication systems. While a poor underwater acoustic channel makes it difficult to classify the modulation types correctly. Feature extraction and deep learning methods have proven to be effective methods for the modulat… Show more

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