Automatic Recognition of Radar Signal Type Based on Transfer Learning
The automatic recognition method of radar emitter signal type is researched.In the complex environment of small sample training data set and limited training time.The transfer learning(TL)concept is introduced and the pre-training GoogleNet models transferred to the radar signal data set to realize the automatic feature extraction.Then,in the full connection layer,Extreme Learning Machine(ELM)is used as classifier to complete the automatic recognition of radar signals.The simulation results show that,for nine kinds of radar signals,the GoogleNet-ELM-based recognition algorithm has good recognition performance when the signal-to-noise ratio is 0 dB,and the correct recognition rate is 95.7％,the effectiveness of the proposed algorithm in the field of electronic reconnaissance is verified.
radar signalautomatic recognition of typestransfer learningextreme learning machine
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