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      A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English)

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          Abstract

          This paper focuses on the problem of the space-variance of the range-cell migration term for bistatic Synthetic Aperture Radar (SAR) and proposes a Scaled Inverse Fourier Transform (SIFT)-based imaging algorithm for the constant-offset configuration of bistatic SAR data processing. Range-cell migration correction is realized when two times phase multiplies and a convolution operation are executed. Because the imaging algorithm is based on a precise spectrum that has been deduced from the Geometry-Based Formula (GBF) algorithm, the proposed algorithm can handle the bistatic SAR data, which were obtained with a large baseline to ratio. The advantages and effectiveness of the proposed imaging method have been verified by simulated and comparable experiments. Moreover, unlike other scaling-imaging algorithms that are dependent on the frequency modulated characteristics of the signal, the SIFT imaging algorithm is also suitable for phase-coded signals, which are used in a wider range of applications.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 March 2013
          : 2
          : 1
          : 14-22
          Affiliations
          [1 ] (Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China)
          Article
          b6e166b3e9b5466190dd2cfa263e4373
          10.3724/SP.J.1300.2013.13018

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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