航空学报 > 2024, Vol. 45 Issue (S1): 730559-730559   doi: 10.7527/S1000-6893.2024.30559

联合等效斜距模型和自聚焦的地面动目标成像

闫莉1, 张杰2, 王家东1()   

  1. 1.西安电子科技大学 前沿交叉研究院,西安 710071
    2.西安电子科技大学 电子工程学院,西安 710071
  • 收稿日期:2024-04-22 修回日期:2024-04-22 接受日期:2024-05-09 出版日期:2024-06-05 发布日期:2024-06-03
  • 通讯作者: 王家东 E-mail:jiadongwang@xidian.edu.cn
  • 基金资助:
    国家自然科学基金(62301391)

Li YAN1, Jie ZHANG2, Jiadong WANG1()   

  1. 1.Academy of Advanced Interdisciplinary Research,Xidian University,Xi’an 710071,China
    2.School of Electronic Engineering,Xidian University,Xi’an 710071,China
  • Received:2024-04-22 Revised:2024-04-22 Accepted:2024-05-09 Online:2024-06-05 Published:2024-06-03
  • Contact: Jiadong WANG E-mail:jiadongwang@xidian.edu.cn

摘要:

针对目标的平移运动导致合成孔径雷达(SAR)成像结果散焦的问题,提出一种对散焦图像后处理的重聚焦算法。首先,针对目标斜距泰勒展开系数随目标方位空变,导致方位移不变性不再成立的问题,提出了一种系数非空变的等效斜距模型,同时,此斜距模型减小了斜视成像下时域距离走动校正引起的方位空变相位误差。其次,针对多普勒模糊导致的频域补偿函数失配、不同SAR算法结果中残余相位形式不同的问题,采用频域截取和逆匹配方法,得到了多普勒中心校正后的等效回波数据。最后,通过最小熵自聚焦方法对残余相位进行估计和补偿,从而得到聚焦图像。仿真实验验证了所提算法的有效性。

关键词: 合成孔径雷达, 地面运动目标成像, 重聚焦, 斜距模型, 自聚焦

Abstract:

A refocusing algorithm for post-processing defocused images is proposed to address the problem of defocusing in Synthetic Aperture Radar (SAR) imaging results caused by translational motion of the target. Firstly, in response to the problem that the spatial variation of the Taylor expansion coefficient of the target’s slant range spatially with the target’s azimuth will result in the loss of azimuth invariance, an equivalent slant range model with non spatially varying coefficients is proposed. This slant range model can weaken the phase error caused by time domain range walk correction in squint imaging. Secondly, to address the mismatch of frequency domain compensation function caused by Doppler ambiguity and the different residual phase forms in different SAR algorithm results, the frequency domain truncation and inverse matching methods are used to obtain the equivalent echo data after Doppler center correction. Finally, the residual phase is estimated and compensated using the minimum entropy autofocus method, resulting in a focused image. The effectiveness of the proposed algorithm is verified through simulation experiments.

Key words: synthetic aperture radar (SAR), ground moving target imaging (GMTIm), refocus, slant range model, autofocus

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