An accumulated Error Estimation Method for Nonuniform SAR Based on Sparse Observation

Non-uniform sampling error may cause defocusing in the reconstructed images. In the observation process, the observation positions are usually not known perfectly, and it is too expensive to estimate the position of each sample point. Here, from the error model analysis, we simplify the position error of each sampling point to an accumulated error in a synthetic aperture time. a Gaussian weighted projection coefficient sum by sparse observation matrix is used as the discrimination, and the error parameter is obtained by the golden ratio optimization algorithm with a chaotic sequences. Experimental results verify the effectiveness and efficiency of the proposed method