Multidimensional Real Aperture Radar Imaging

One drawback of real aperture radar imaging([1]) is that closely placed scatterers that can not be separated in range will not be drawn apart in cross range. An algorithm based on super resolution spectral estimation and Total Least Squares is proposed in this paper in order to solve this problem. MUSIC algorithm is used to estimate the range position of closely located scatterers with high accuracy and Total Least Squares is used to estimate the cross-range position of scatterers. Theoretical analysis and simulation show this method is capable to resolve closely placed scatterers and is robust to range position estimation error so that a more accurate multi-dimensional image of the target can be generated.