Ground moving targets imaging via compressed sensing based on discrete FrFT

To reduce the amount of echo data in ground moving targets imaging, an imaging method of ground moving targets is proposed with compressed data based on discrete fractional Fourier transform and Compressed Sensing. Firstly, the DPCA technique is induced to cancel the clutters with the range-compression signals. Secondly, based on the sparsity of the azimuth signals of the moving targets in fractional Fourier domain, the discrete fractional Fourier transform matrix is constructed as the sparse basis matrix. Then the imaging processing of the moving targets with random down-sampled data is converted into solving an optimization problem, and also the moving parameters of moving targets are obtained by the optimal orders. Finally, the feasibility and effectiveness of the proposed method is proved by the simulation results.