Signal semantic recognition method based on multistage semantic representation and semantic calculation

The invention provides a semantic recognition method based on multistage semantic representation and semantic calculation, and mainly solves the problems of poor interpretability and low generalization ability of signal semantic recognition in the prior art. The implementation scheme of the method comprises the steps of collecting a training set and a test set; constructing a signal semantic recognition network composed of cascaded multistage semantic representation networks and semantic computing networks so as to carry out learnable multistage semantic representation on the signals, and computing semantic categories of the signals according to the semantic representation; setting a semantic representation loss function and a cross entropy loss function to train the multistage semantic representation network and the semantic computing network in sequence to obtain a trained signal semantic recognition network; and obtaining a semantic recognition result of the to-be-recognized signalbased on the trained sign