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Fast Fourier Methods for Synthetic Aperture Radar Imaging

På svenska

Author

  • Fredrik Andersson
  • Randolph Moses
  • Frank Natterer

Summary, in English

In synthetic aperture radar one wishes to reconstruct the reflectivity function of a region on the ground from a set of radar measurements taken at several angles. The ground reflectivity is found by interpolating measured samples, which typically lie on a polar grid in frequency space, to an equally spaced rectangular grid in frequency space, then computing an inverse Fourier transform. The classical Polar Format Algorithm (PFA) is often used to perform this interpolation. In this paper we describe two other methods for performing the interpolation and imaging efficiently and accurately. The first is the Gridding Method, which is widely used in the medical imaging community. The second method uses unequally spaced FFTs, a generic tool for arbitrary sampling geometries. We present numerical and computational comparisons of these three methods using both point scattering data and synthetic X-band radar reflectivity predictions of a construction backhoe.

Publishing year

2012

Language

English

Pages

215-229

Publication/Series

IEEE Transactions on Aerospace and Electronic Systems

Volume

48

Issue

1

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Mathematics

Status

Published

Research group

  • Harmonic Analysis and Applications

ISBN/ISSN/Other

  • ISSN: 0018-9251