Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration

Radio frequency fingerprinting (RFF) is a lightweight access authentication method for the mobile terminal nodes. The classification accuracy of RFF is effectively improved by machine learning, of which the performance is deeply enhanced with the increasing training data. Data augmentation is the most frequently used method to get additional data and superior results with limited data in the class...