Radar active jamming signal identification method based on deep transfer learning

A radar active jamming signal identification method based on deep transfer learning comprises the steps of 1, generating a radar active jamming signal data set, 2, constructing a radar active jamming signal time-frequency image training set, a verification set and a test set, 3, constructing a deep transfer learning network, 4, carrying out first training on the deep transfer learning network, 5, carrying out second training on the deep transfer learning network, and 6, carrying out second training on the deep transfer learning network. 5, carrying out the second training of the deep transfer learning network after the first training; and 6, predicting a test set through the deep transfer learning network. The method can achieve the accurate classification of the radar active interference signals under the conditions that the number of radar active interference signal samples is not sufficient and the radar active interference signals are not easy to obtain, accelerates the convergence speed during network tr