Table 5.
Methods for data augmentation in RFF identification
Methods | Description | Application scenarios | Advantages | Disadvantages |
---|---|---|---|---|
Traditional signal processing | Use signal processing to simulate devicesamples in designed condition. | Most in closed set problems |
|
|
GAN | Train GAN model to generate device samples. | Most in open set problems |
|
|
Autoencoder | Train Autoencoder model to generate device samples. | Most in open set problems |
|
|
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