Downward-Looking Sparse Linear Array Synthetic Aperture Radar 3-D Imaging Method Based on CS-MUSIC

  • Fu-fei Gu
  • Le KangEmail author
  • Jiang Zhao
  • Yin Zhang
  • Qun Zhang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 227)


In this paper, a three-dimensional imaging method for sparse multiple input multiple output (MIMO) synthetic aperture radar (SAR) is proposed. Due to the limitation of the antenna array length in DLSLA 3-D SAR, the cross-track resolution is poor than the resolution in high and along-track direction. To obtain high resolution in cross-track domain, the multiple signal classification (MUSIC) algorithm is introduced into the imaging problem. However, the MUSIC invalid under the condition of less snapshot numbers and presence of coherent sources, which may be caused by data missing or sparse sampling in practice. To overcome these limitations, after the preprocessing such as the range and along-track imaging with ordinary Nyquist based methods, the motion compensation and the quadratic phase compensation, this paper transform the process of cross-track direction into a multiple measurement vectors (MMV) model and applies compressive multiple signal classification (CS-MUSIC) algorithm rather than the conventional method or MUSIC algorithm. Based on CS-MUSIC algorithm, imaging result of high resolution with less snapshot numbers. Compared with the CS-based method, the proposed approach can obtain a better performance of anti-noise. The simulated results confirm the effect of the method and show that it can improve the imaging quality.


Three-dimensional synthetic aperture radar Sparse linear array Compressive sensing Multiple-signal-classification Multiple Measurement Vectors 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Fu-fei Gu
    • 1
  • Le Kang
    • 2
    • 3
    Email author
  • Jiang Zhao
    • 1
  • Yin Zhang
    • 1
  • Qun Zhang
    • 2
    • 3
  1. 1.China Satellite Maritime Tracking and Control DepartmentJiangyinChina
  2. 2.Information and Navigation CollegeAir Force Engineering UniversityXi’anChina
  3. 3.Collaborative Innovation Center of Information Sensing and UnderstandingXi’anChina

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