A MIMO Radar Imaging Method Based on Hankel Matrix Nuclear Norm Minimization Tensor Completion

Multiple input multiple output (MIMO) radar has the ability of multidimensional information sensing. In this paper, a MIMO imaging method under sparse sampling conditions is investigated by constructing a tensor completion algorithm with minimization of the Hankel matrix kernel regularization function. The experiment results show that the MIMO radar system constructed by using the software radio device and the proposed method can effectively image the targets in the scene in three dimensions and reduce the imaging errors under the sparse sampling conditions.