In order to meet the requirements of modern radars for target detection and recognition,a neural network model is designed based on artificial intelligence,which first extracts the multi-di-mensional features of the radar pulse signals,then converts the features into pictures and sends them to the model for training,and finally classifies the signals.Based on the actual collected navi-gation radar data,the test results show that the model is able to classify the pulse signals of the known navigation radar emitters with an accuracy of 99.21％,and it can also distinguish unknown radar signals to a certain extent,indicating that the neural network model has strong classification and recognition capability.
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