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Three-dimensional target features extraction in curvilinear SAR with aperture errors

In curvilinear synthetic aperture radar (SAR), it is difficult to compensate the curvilinear aperture errors. The algorithm proposed in this paper, based on the phase compensation technique in inverse SAR (ISAR), compensates the aperture errors by using the range and phase information in the reference bins. Consequently, the scatterers' three-dimensional (3-D) features are extracted from the compensated data. Simulation results show that the distribution obtained via the new algorithm, compared with the original distribution, only shifts in three-dimensional position without structure changing. So, the new algorithm is a novel 3-D features extraction algorithm for curvilinear SAR.