Volume 9 Issue 4
Aug.  2020
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ZHENG Tong, JIANG Libing, and WANG Zhuang. Three-dimensional multiple-input multiple-output radar imaging method based on integration of multi-snapshot images[J]. Journal of Radars, 2020, 9(4): 739–752. doi: 10.12000/JR19069
Citation: ZHENG Tong, JIANG Libing, and WANG Zhuang. Three-dimensional multiple-input multiple-output radar imaging method based on integration of multi-snapshot images[J]. Journal of Radars, 2020, 9(4): 739–752. doi: 10.12000/JR19069

Three-dimensional Multiple-Input Multiple-Output Radar Imaging Method Based on Integration of Multi-snapshot Images

DOI: 10.12000/JR19069
Funds:  The National Ministries Foundation, The Key Laboratory Foundation of National Defense Science and Technology (6142503180202)
More Information
  • Corresponding author: WANG Zhuang, zhuang_wang@sina.com
  • Received Date: 2019-07-16
  • Rev Recd Date: 2019-09-26
  • Available Online: 2019-10-16
  • Publish Date: 2020-08-28
  • To improve the cross-range resolution of three-dimensional (3-D) images obtained along the direction of movement by Multiple-Input Mmultiple-Output (MIMO) radar, a novel MIMO-ISAR 3-D imaging method that combines multi-snapshot images is proposed. This method integrates multiple single-snapshot 3-D images acquired by a planar antenna array during a specific period of observation and extracts the peak slice along the linear fitting direction of the scatterers to construct a new 3-D image. The simulation results demonstrated that the proposed method significantly improves the cross-range resolution of the imaging results along the direction of movement compared with other methods based on single-snapshot 3-D images. Additionally, compared with the classical MIMO-ISAR method based on rearrangement and interpolation, this method is suitable for both fast-moving and slow-moving targets. Moreover, the imaging results are well focused and the side lobes along the direction of movement are effectively suppressed.

     

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