Parametric Sparse Representation Method for Motion Parameter Estimation of Ground Moving Target

In order to reduce the amount of echo data and achieve a wider observation swath, a parametric sparse representation method for the motion parameter estimation of ground moving targets is proposed with low pulse repetition frequency (PRF). First, the displaced phase center antenna technique is introduced to cancel the clutters. Second, since range cell migration is not subject to PRF limitations, Hough transform is adopted to estimate the across-track velocities and range positions of moving targets. Then, the parametric method is put forward to estimate the along-track velocities and azimuth positions based on the parametric over-complete chirplet basis matrix, where the basis matrix is determined by the along-track velocities of moving targets. The proposed algorithm can adaptively refine the basis matrix to achieve the optimal sparse representation result. Meanwhile, the azimuth position is obtained by the optimal sparse representation result. Finally, the feasibility and the effectiveness of the proposed method are proved by the simulation results.