The application of radar data to the problem of non-cooperative target recognition (NCTR) usually begins by estimating the position and strength of the significant scattering centres from the bright spot locations of a radar image (e.g., high range resolution or inverse synthetic aperture radar). In practical situations, these images are usually contaminated by noise and can be of very low quality resolution-factors that confound the scattering centre localization process and can preclude NCTR by radar means. We describe a simple method, based on subspace fitting techniques, that can be applied to the position and strength estimation problem in this environment. The scheme is robust against noise corruption and allows for super-resolved estimates of all (or some) of the scatterers. Examples based on synthetic data are presented.
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