SAR (synthetic aperture radar) target identification method based on nuclear sparse representation

The invention discloses an SAR (synthetic aperture radar) target identification method based on nuclear sparse representation, mainly solving the problem of low error tolerance in the prior art. The method comprises the following realization steps: (1) respectively mapping a training sample matrix and a test sample to a nuclear space, randomly reducing the dimension of the mapped sample to the required dimension, and normalizing the dimension; (2) solving a reconstructed coefficient vector between the normalized test sample and the training sample matrix; and (3) solving the energy of the reconstructed coefficient of the test sample in each class, and substituting the energy into a class judging formula to obtain a final identification result. Compared with the prior art, the SAR target identification method is characterized by improving the error tolerance of the algorithm, so that the SAR target identification method has higher identification precision and high arithmetic speed in the SAR target identification application; and meanwhile, an application range is popularized to a low-dimensional sample, thus having better universality.