In this paper the authors propose a novel approach to ISAR image autofocus that is based on the use of two-dimensional polynomials derived from multivariable Taylor series expansions of the baseband signal. Such a novel approach follows a new interpretation of classical ISAR signal modeling and at the same time it provides the means for a deeper analysis and understanding of ISAR image formation using two-dimensional Fourier transforms. The theoretical findings, although to be considered at a preliminary stage, are supported by both simulations and real data analysis.
ISAR image autofocus using 2D-polynomials
CANTONI, ANNA;MARTORELLA, MARCO
2016-01-01
Abstract
In this paper the authors propose a novel approach to ISAR image autofocus that is based on the use of two-dimensional polynomials derived from multivariable Taylor series expansions of the baseband signal. Such a novel approach follows a new interpretation of classical ISAR signal modeling and at the same time it provides the means for a deeper analysis and understanding of ISAR image formation using two-dimensional Fourier transforms. The theoretical findings, although to be considered at a preliminary stage, are supported by both simulations and real data analysis.File in questo prodotto:
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