Fourier-Based ISAR imaging Using 2D Polynomials

Antonio Cantoni, Marco Martorella

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)
    272 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)1216-1227
    Number of pages12
    JournalIET Radar, Sonar & Navigation
    Volume11
    Issue number8
    DOIs
    Publication statusPublished - 1 Aug 2017

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