Signal identification model training method, signal identification method and device

The invention relates to the technical field of machine learning, in particular to a signal recognition model training method and device and a signal recognition method, and the signal recognition model training method comprises the steps: carrying out the information superposition processing of target data, and obtaining a plurality of pieces of processed data; the target data is label-free signal data corresponding to a target task; performing signal identification on the multiple items of processed data based on a source signal identification model to obtain an identification tag corresponding to the target data; the source signal identification model is obtained by training based on source signal data carrying a source tag and corresponding to the target task; the source tag comprises a pulsar signal tag and a non-pulsar signal tag; and based on the source signal data carrying the source tag and the target data carrying the identification tag, training the source signal identification model to obtain a ta