Volume 7 Issue 6
Feb.  2019
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Tian He, Li Daojing. Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR[J]. Journal of Radars, 2018, 7(6): 717-729. doi: 10.12000/JR18101
Citation: Tian He, Li Daojing. Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR[J]. Journal of Radars, 2018, 7(6): 717-729. doi: 10.12000/JR18101

Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR

doi: 10.12000/JR18101
Funds:  The National Natural Science Foundation of China (61271422), The Youth Innovation Foundation of 5th China High Resolution Earth Observation Conference
  • Received Date: 2018-11-27
  • Rev Recd Date: 2018-12-18
  • Publish Date: 2018-12-28
  • In this study, we adopt a criterion of Barker code to generate a high-resolution image from sparse flight samples to establish a three-dimensional (3-D) imaging model of airborne array SAR. Under the condition of motion error, we utilize the Modified Uniformly Redundant Arrays (MURA) modulation and 3-D Back Projection (BP) algorithm to obtain 3-D complex image pairs under each flight. Based on interferometry and Compressed Sensing (CS) in frequency domain, the array deformation error compensation is realized. The phases of 3-D complex image formed by the echo corresponding to negative MURA modulation are referred to perform phase compensation on each single-pass complex image to restore the image phase relation of each flight. Coherent accumulation of each complex image is implemented to realize high-resolution 3-D imaging under sparse flight sampling. Simulation analysis and experimental data verify the feasibility of the proposed method.

     

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