The present invention discloses a radar target recognition method based on tag consistent dictionary learning, and belongs to the field of radar. Sparse representation of signals is realized by constructing a complete dictionary with a discriminating ability and sparse coding for sparse signals. The method comprises the main flows of: constructing a LC-KSVD dictionary learning model of a high-resolution range image; initializing relevant parameters in the model; using a K-SVD algorithm to solve the optimal solution of the LC-KSVD dictionary learning model; normalizing the dictionary D and thelinear classifier matrix W again; and finally, according to the D and the W, determining the category of the test sample. According to the method disclosed by the present invention, the learned complete dictionary has the discriminating ability, so that not only the sparse representation of the signals can be better realized, but also the method can be used for classification.