Toward receiver, modulation, carrier and symbol rate agnostic SEI Dataset

Specific emitter identification (SEI)  is a promising authentication paradigm in physical layer security (PLS). Despite the significant success of existing SEI schemes, most of them assume that the distributions of the training dataset and the test dataset are consistent. However, in most practical scenarios, when the signal parameters change, the distribution of the samples will changes,  resulting in a significant performance degradation. To this end, we construct a SEI dataset with variable parameters, including variable receiver, variable modulation, variable carrier and variable symbol rate. Compared to existing public works, the constructed  dataset comprehensively considers the impact of different signal parameters on SEI tasks, providing data support for subsequent research work.