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Volume 37 Issue 8
Aug.  2015
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Li Zhen-yu, Liang Yi, Xing Meng-dao, Bao Zheng. New Subaperture Imaging Algorithm and Geometric Correction Method for High Squint Diving SAR Based on Equivalent Squint Model[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1814-1820. doi: 10.11999/JEIT141516
Citation: Li Zhen-yu, Liang Yi, Xing Meng-dao, Bao Zheng. New Subaperture Imaging Algorithm and Geometric Correction Method for High Squint Diving SAR Based on Equivalent Squint Model[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1814-1820. doi: 10.11999/JEIT141516

New Subaperture Imaging Algorithm and Geometric Correction Method for High Squint Diving SAR Based on Equivalent Squint Model

doi: 10.11999/JEIT141516
  • Received Date: 2014-11-27
  • Rev Recd Date: 2015-03-27
  • Publish Date: 2015-08-19
  • The ordinary full-aperture SAR imaging algorithms are inapplicable to focus high squint diving SAR subaperture data due to its property of vertical velocity which brings variance in azimuth. Based on the equivalent squint model and the characteristic of subaperture imaging, this paper explores a Frequency Phase Filtering Algorithm (FPFA) to implement high squint SAR subaperture data focusing. The innovative idea is the introduced filtering phase in the azimuth frequency domain in order to eliminate the azimuth dependence. Finally, the equivalent squint model causes the geometric deformation; due to this issue, a modified inverse-projection method corresponding to FPFA is proposed to get the final image without deformation. The simulation results and raw data processing validate the effectiveness of the proposed method.
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