Fourier-based ISAR imaging using 2D polynomials

Inverse synthetic aperture radar (ISAR) image formation is a problem that has been studied for many decades. Despite the effort made by many researchers and practitioners, it is still an open problem as it involves non-trivial aspects both in terms of geometry and scattering mechanisms. In this stud...

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Bibliographic Details
Published in:IET radar, sonar & navigation sonar & navigation, 2017-08, Vol.11 (8), p.1216-1227
Main Authors: Cantoni, Antonio, Martorella, Marco
Format: Article
Language:English
Subjects:
2D polynomials
Fourier transforms
Fourier transform‐based approach
geometry
geometry mechanisms
image autofocus
inverse synthetic aperture radar image formation
ISAR signal modelling
mathematical analysis
mathematical formulation
motion compensation
nontrivial aspects
radar imaging
Research Article
scattering mechanisms
synthetic aperture radar
target motion compensation
two‐dimensional polynomials
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Summary:Inverse synthetic aperture radar (ISAR) image formation is a problem that has been studied for many decades. Despite the effort made by many researchers and practitioners, it is still an open problem as it involves non-trivial aspects both in terms of geometry and scattering mechanisms. In this study, the authors introduce a new interpretation of classical ISAR signal modelling, based on two-dimensional polynomials, providing an alternative perspective that permits the in-depth investigation of the problem of ISAR image formation when using a Fourier transform-based approach. The interpretation of target motion compensation and image autofocus are connected through a mathematical formulation that explains in depth what can and should be compensated in the received signal prior to applying the Fourier transform and therefore forming the ISAR image.
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2016.0586