Aiming at the problem of accurate identification of radiation sources in complex electromagnetic environments, a radar signal identification algorithm and its optimization method based on transfer learning are proposed under the condition of lacking samples. This method has the characteristics of short training time and high recognition rate when recognizing scare sample targets. Under the condition of -10 dB, four kinds of radar signals are recognized, reaching the recognition accuracy 85.3%.