[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 基于多重测量矢量的含旋转部件目标ISAR成像方法-An ISAR Imaging Algorithm for Targets with Rotating Parts Based on Multiple Measurement Vectors
文章摘要
张群, 蒋国建, 康乐, 李开明.基于多重测量矢量的含旋转部件目标ISAR成像方法[J].空军工程大学学报:自然科学版,2020,21(4):36-42
基于多重测量矢量的含旋转部件目标ISAR成像方法
An ISAR Imaging Algorithm for Targets with Rotating Parts Based on Multiple Measurement Vectors
  
DOI:
中文关键词: 旋转部件  ISAR成像  压缩感知  多重测量矢量  逆Radon变换
英文关键词: rotating parts  ISAR image  compressed sensing (CS)  multiple measurement vectors  inverse Radon transform
基金项目:国家自然科学基金(61701530,61631019)
作者单位
张群, 蒋国建, 康乐, 李开明 空军工程大学信息与导航学院 西安 710077 
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中文摘要:
      针对逆合成孔径雷达(ISAR)中含旋转部件目标成像问题,提出了一种基于多重测量矢量和压缩感知(CS)的含旋转部件目标ISAR成像方法。通过分析目标主体信号和旋转部件信号的多普勒差异,建立目标主体信号在方位向的多重测量矢量(MMV)模型。由于主体信号在方位向具有固定支撑集,而旋转部件信号在此支撑集上不具有稀疏性,因此,利用MMV模型进行信号重建后即可获得目标的主体ISAR像。在此基础上,再利用逆Radon变换得到旋转部件的ISAR像。仿真结果验证了该方法的有效性。
英文摘要:
      In view of solving the problem of radar targets with rotating structures in ISAR imaging, an ISAR imaging algorithm for targets with rotating parts based on multiple measurement vectors and compressed sensing (CS) is proposed. Through analyzing the Doppler difference between the target body signal and the rotating part signal, a model of the multiple measurement vectors (MMV) to the target body signal in direction of cross range is established. Since the target body signal has a fixed support set in direction of cross range, and the rotating part signal does not have sparsity on this support set, the body ISAR image of the target can be obtained after the signal reconstruction with the MMV model. On the basis of this, the ISAR image of the rotating part is obtained by inverse Radon transform. The simulation results show that the proposed algorithm is valid.
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