In order to solve the problem of low accuracy on individual recognition of radar radiation sources,a rec-ognition algorithm method combined with one-dimensional convolution neural network and gradient boosting decision tree was proposed.Firstly,an individual signal model of radar radiation source was constructed based on linear fre-quency modulation signal;then the gradient boosting decision tree and one-dimensional convolution neural network were introduced;a network model was built after that,while the intermediate frequency data of radar signal was taken as the input of the network to realize the individual recognition of radar emitter based on deep learning.The experi-mental results showed that the radar radiation source individual recognition algorithm proposed in this paper had a rel-atively high recognition accuracy rate.When SNR≥5dB,the recognition accuracy rate reached over 99.5%.
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