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Volume 43 Issue 3
Mar.  2021
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Ling WANG, Lingling SUN, Rui GONG, Daiyin ZHU. Error Analysis in SAR Imaging Due to Fluctuation of Atmospheric Refractive Index[J]. Journal of Electronics & Information Technology, 2021, 43(3): 665-673. doi: 10.11999/JEIT200285
Citation: Ling WANG, Lingling SUN, Rui GONG, Daiyin ZHU. Error Analysis in SAR Imaging Due to Fluctuation of Atmospheric Refractive Index[J]. Journal of Electronics & Information Technology, 2021, 43(3): 665-673. doi: 10.11999/JEIT200285

Error Analysis in SAR Imaging Due to Fluctuation of Atmospheric Refractive Index

doi: 10.11999/JEIT200285
Funds:  The National Key Research and Development Program of China (2017YFB0502700), The National Natural Science Foundation of China(61871217), The Aeronautical Science Foundation of China (20182052011)
  • Received Date: 2020-04-21
  • Rev Recd Date: 2021-01-13
  • Available Online: 2021-02-25
  • Publish Date: 2021-03-22
  • Generally, the refractive index of atmosphere is simply 1 by default in Synthetic Aperture Radar (SAR) imaging, that is, the ElectroMagnetic (EM) wave velocity is equal to the speed of light in free-space and the atmospheric absorption is ignored. However, the actual absorption may weaken the incident power and variations in the speed of EM waves may cause phase error, thus affecting image reconstruction. In this paper, the influence of wave velocity fluctuation and atmospheric absorption in SAR imagery is analyzed quantitatively. It is theoretically deduced that the atmospheric absorption will lead to amplitude error, which is shown as strength error of the scatterer in the reconstructed image; EM velocity fluctuation will lead to phase error, which is shown as positioning error of the scatterer in the reconstructed image. The correctness of error analysis is verified by simulation experiments. The work in this paper completes further the SAR imaging error analysis, which is beneficial to SAR image interpretation.
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