Volume 7 Issue 6
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Liu Qiyong, Zhang Qun, Hong Wen, Su Linghua, Liang Jia. DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation[J]. Journal of Radars, 2018, 7(6): 730-739. doi: 10.12000/JR18107
Citation: Liu Qiyong, Zhang Qun, Hong Wen, Su Linghua, Liang Jia. DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation[J]. Journal of Radars, 2018, 7(6): 730-739. doi: 10.12000/JR18107
shu

DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation

DOI: 10.12000/JR18107
  • ①.

    Air Force Engineering University Graduate College, Xi’an 710077, China

  • ②.

    College of Information and Navigation, Air Force Engineering University, Xi’an 710077, China

  • ③.

    Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710077, China

  • ④.

    The Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai 200433, China

  • ⑤.

    National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China

  • ⑥.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

Funds:  The National Natural Science Foundation of China (61471386, 61871396), The Natural Science Foundation Research Program of Shaanxi Province (2016JM4008)
  • Received Date: 2018-12-03
  • Rev Recd Date: 2018-12-27
  • Publish Date: 2018-12-28
    Abstract
  • In the presence of yaw angular velocity, a body will deviate from its ideal flight path, which will affect imaging of Downward-Looking Sparse Linear Array 3D Synthetic Aperture Radar (DLSLA 3D SAR). In this paper, an imaging model including yaw rate is established. Furthermore, Doppler frequency modulation, which is related to cross-track coordinates and not azimuth coordinates, was theoretically calculated. Thus, a cross-track signal could be reconstructed to obtain the cross-track coordinates before azimuth signal compression. Based on the parametric sparse representation, the velocity and yaw rate of the platform were estimated, and the azimuth signal was compressed. Moreover, a deformation correction method is proposed to correct image deformation. The simulation results demonstrate the validity of the proposed method.

     

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