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- W2019499093 abstract "We describe a new algorithm for correcting phase errors in synthetic-aperture radar data. It employs a gradient-search algorithm to minimize the energy of the image outside a support constraint. We give analytic expressions for the gradient of the error metric with respect to a point-by-point description of the phase error and with respect to the coefficients of a polynomial expansion of the phase error. These analytic gradients greatly speed the computations for the algorithm. We demonstrate successful phase-error correction for an image of a CV-580 aircraft collected with ERIM's Ground-to-Air Imaging Radar." @default.
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- W2019499093 title "Gradient-search phase-retrieval algorithm for inverse synthetic-aperture radar" @default.
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- W2019499093 doi "https://doi.org/10.1117/12.181247" @default.
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