Parametric sparse representation method for parameter estimation in SAR imaging

For high resolution SAR focusing, a SAR parameter estimation method based on parametric sparse representation is proposed. The SAR echo is formulated as a parametric joint-sparse signal and the velocity of the platform is estimated by solving a joint optimization problem through iterative process. Compared to the phase difference (PD) method, the precision of estimation result is significantly improved with a smaller number of measurements. With the estimated velocity, a clearer image can be obtained. Experimental results on simulations and real data have shown the effectiveness of the proposed algorithm.