The article is currently under submission.
Data
Experiments were conducted on four datasets: RMLradio2016.10a, RMLradio2016.10b and RML22.
The dataset can be downloaded from the DeepSig official website.
- pytorch = 2.4.0
- cuda = 11.8
- python = 3.8
Comparison with other models on the 2016a dataset.
Compare model:MCDformer,AWN,AvgNet,PETCGDNNand CLDNN
Some of the code is borrowed from MCDformer,AWN,CDSCNN and we thank them for their excellent work.