The invention discloses an intelligent radar radiation source signal classification method based on a long-short time memory model. The method mainly solves the problem that the prior art is low in identification rate and slow in identification speed. The realization scheme is as follows: 1) generating a radar radiation source signal data set, and performing data preprocessing on the same; 2) acquiring a training sample set, a testing sample set and a verification sample set from the preprocessed data set; 3) constructing a seven-layer long-short time memory unit network and setting parametersof a network model; 4) adjusting the hyper-parameter of the network model and training the long-short time memory unit network by utilizing the training sample set and the testing sample set; and 5)inputting the verification sample set into the trained long-short time memory unit network model, thereby acquiring a radar radiation source signal classification result. Through the classification method disclosed by the invention, the automatic feature extraction and accurate signal classification can be performed on the one-dimensional signal; and the classification result is excellent, the time complexity is low, the stability is good, and the method can be used for the radar radiation source signal identification under the complex electromagnetic environment.
Intelligent radar radiation source signal classification method based on long-short time memory model