Three-DimensionalTarget Features Extraction MethodinCurvilinear SAR withAperture Errors

Incurvilinear synthetic aperture radar(SAR), itisdifficult tocompensate thecurvilinear aperture errors. Thealgorithm proposed inthis paper, basedonthephase compensation technique ininverse SAR(ISAR), compensates theaperture errors byusing therangeandphase information inthereference bins. Consequently, thescatterers' three- dimensional (3-D)features are extracted from the compensated data.Simulation results show thatthe distribution obtained viathenewalgorithm, compared with theoriginal distribution, onlyshifts inthree-dimensional position without structure changing. So,thenewalgorithm is anovel 3-Dfeatures extraction algorithm forcurvilinear SAR.