Underwater acoustic target radiation noise identification method based on domain adaptation

The invention discloses an underwater acoustic target radiation noise identification method based on domain adaptation. The method comprises the steps: constructing a convolutional neural network shared by a source domain and a target domain; pre-training a convolutional neural network by using a source domain label sample; respectively calculating source domain classification loss and target domain pseudo-label classification loss by utilizing the source domain label sample and the target domain sample; calculating a cross-domain multi-core maximum mean difference distance between a source domain label sample and a target domain sample in a convolutional neural network in a multi-layer manner; obtaining the total loss of the network according to the source domain classification loss, thetarget domain pseudo label classification loss and the multi-core maximum mean value difference distance; assigning a target domain sample label predicted by the network to the label-free sample through pseudo label learning,