2 September 2004 Radar scattering center localization by the variable projection method
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To many contemporary radar engineers the term "radar imaging" has come to be synonymous with "scattering center localization." Radar image-based target classification and identification, for example, is typically interpreted as a library look-up process in which the position and strength of target scattering centers is matched to a set of known template signatures. But the ability to accurately estimate scatterer position and strength is severely hampered by low image resolution and noise contamination. In addition, inverse synthetic aperture radar images often also require costly preprocessing steps (such as polar reformatting) to assure adequate accuracy. We describe a simple method, based on subspace fitting techniques, that can be applied to the position and strength estimation problem in this time-constrained and data-limited environment. The scheme is robust against noise corruption and allows for super-resolved estimates of all (or some) of the scatterers. Examples based on both real and synthetic data are presented.
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Brett H Borden, "Radar scattering center localization by the variable projection method", Proc. SPIE 5427, Algorithms for Synthetic Aperture Radar Imagery XI, (2 September 2004); doi: 10.1117/12.541679; https://doi.org/10.1117/12.541679

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