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Information Center for Mathematical Science

PAC

Information Center for Mathematical Science

PAC

Synthetic Aperture Radar Imaging with Motion Estimation and Autofocus
Author George Papanicolaou (Stanford University)
Homepage Url http://math.stanford.edu/~papanico/pubs.html#corr
Coauthors Liliana Borcea, Thomas Callaghan
Abstract We introduce from rst principles a synthetic aperture radar (SAR) imaging and target motion estimation method that is combined with compensation for radar platform trajectory perturbations. The main steps of the method are (a) segmentation of the data into properly calibrated small apertures, (b) preliminary motion estimation from the data using the Wigner transform and the ambiguity function, (c) compensation for platform trajectory perturbations using the Wigner transform and the ambiguity function of small aperture preliminary images, and (d) construction of high resolution images over wide apertures using the estimated motion and platform trajectory perturbations. The analysis provides quantitative criteria for implementing the aperture segmentation and the parameter estimation process. X-band persistent surveillance SAR is a speci c application that is covered by our analysis. Detailed numerical simulations illustrate the robust applicability of the theory and validate the theoretical resolution analysis.
Abstract Url http://math.stanford.edu/~papanico/pubftp/auto.pdf