TSN-A: An Efficient Deep Learning Model for Automatic Modulation Classification Based on Intra-Class Confusion Reduction of Modulation Families
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DOI: 10.1109/lcomm.2022.3210586
Abstract: Automatic modulation classification (AMC) is an impressive technology, which is widely used in military and civilian fields. Recently, deep learning-based AMC (DL-AMC) methods have shown outstanding performance. However, most DL-AMC methods employ a single-stage network… read more here.
Keywords: intra class; modulation; classification; class confusion ... See more keywords