2D OMP algorithm for space–time parameters estimation of moving targets

By exploiting the sparsity and data structure of the received signals of airborne radar, the two-dimensional (2D) signal sparse representation (SR) model that is suitable for moving targets parameters estimation after clutter suppression is built. A novel 2D orthogonal matching pursuit (OMP) algorithm is also proposed to solve the 2D SR problem directly. The spatial parameters and temporal parameters of targets are first estimated separately based on two subdictionaries, i.e. space dictionary and time dictionary. The joint space-time parameter of each target is then obtained based on a very small space-time dictionary. The numerical results indicate that the proposed algorithm can achieve closely approximate parameters estimation performance with significant computational saving compared with the one-dimension (1D) method using traditional 1D OMP algorithm.