Intelligent radar signal sorting method and system based on convolution noise reduction auto-encoder

The invention discloses a radar signal intelligent sorting method and system based on a convolution noise reduction auto-encoder, and the method comprises the following steps: S1, extracting a pulse TOA sequence of a single radar in an electromagnetic signal database, sorting the pulse TOA sequence of each radar sample according to the arrival time of the pulse TOA sequence, and constructing an aliasing pulse sequence; s2, performing pulse coding processing on the pulse TOA sequence and the aliasing pulse sequence of the single radar to obtain a binary coding vector (training data); s3, the obtained binary coding vector is input into a convolution noise reduction auto-encoder for training, the output of the model is the binary coding vector of the target pulse, and the trained model is stored; and S4, inputting a mixed pulse TOA sequence (real data) received in a complex electromagnetic environment into the trained convolution noise reduction auto-encoder model to complete signal sorting so as to obtain a tar