Volume 2 Issue 1
Apr.  2013
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Chen Shi-chao, Xing Meng-dao, Zhang Shuang-xi, Bao Zheng. A SIFT Algorithm for Bistatic SAR Imaging in Spaceborne Constant-offset Configuration (in English)[J]. Journal of Radars, 2013, 2(1): 14-22. doi: 10.3724/SP.J.1300.2012.13018
Citation: Chen Shi-chao, Xing Meng-dao, Zhang Shuang-xi, Bao Zheng. A SIFT Algorithm for Bistatic SAR Imaging in Spaceborne Constant-offset Configuration (in English)[J]. Journal of Radars, 2013, 2(1): 14-22. doi: 10.3724/SP.J.1300.2012.13018

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

doi: 10.3724/SP.J.1300.2012.13018
Funds:

Supported by the National Natural Science Foundation of China (No. 61222108, No. 60890072) and the National Research Program of China (973 Program) (No. 2010CB731903)

  • Received Date: 2013-03-11
  • Rev Recd Date: 2013-03-15
  • Publish Date: 2013-02-28
  • 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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