By exploiting the sparsity anddata 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...
详细信息
By exploiting the sparsity anddata 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 proposedalgorithm can achieve closely approximate parameters estimation performance with significant computational saving compared with the one-dimension (1d) method using traditional 1dompalgorithm.
暂无评论