西安电子科技大学学报 ›› 2021, Vol. 48 ›› Issue (2): 109-116.doi: 10.19665/j.issn1001-2400.2021.02.014

• 雷达技术进展专题 • 上一篇    下一篇

广角SAR各向异性散射目标分离成像

王昕(),常贵清(),池琛琛()   

  1. 南京邮电大学 通信与信息工程学院,江苏 南京 210009
  • 收稿日期:2020-10-14 修回日期:2021-02-26 出版日期:2021-04-20 发布日期:2021-04-28
  • 作者简介:王昕(1985—),女,副教授,博士,E-mail: wangx@njupt.edu.cn|常贵清(1997—),男,南京邮电大学硕士研究生,E-mail: cgq970926@163.com|池琛琛(1995—),男,南京邮电大学硕士研究生,E-mail: 736012870@qq.com
  • 基金资助:
    国家自然科学基金(61801232);国家自然科学基金(61771182)

Separation and imaging of the anisotropic scattering targets in the wide-angle SAR

WANG Xin(),CHANG Guiqing(),CHI Chenchen()   

  1. School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210009,China
  • Received:2020-10-14 Revised:2021-02-26 Online:2021-04-20 Published:2021-04-28

摘要:

在广角合成孔径雷达观测条件下,许多被照射物体的散射特性会随着观测角度的变化而变化,导致重建图像的分辨率和解析力降低。为解决这一问题,提出了一种基于稀疏约束的信源分离成像方法。首先,利用各向同性和各向异性散射目标的不同散射特性,构造联合系统函数投影算子;然后,基于稀疏约束抑制交叉投影能量,实现混合接收数据的分离成像,使得重建各向异性散射目标的图像的聚焦质量和可解译性能都得到了改善。数值模拟验证了该方法的有效性,其重建图像的分辨率和解析力都得到了显著提高。

关键词: 广角合成孔径雷达, 各向异性散射, 联合稀疏处理

Abstract:

In the wide-angle synthetic aperture radar(SAR),the scattering behavior of many illuminated objects might vary with the observation angle,which results in the degradation of the resolution and interpretability of the reconstructed imagery.To solve this problem,a sparse-based source separation and imaging method is proposed in this paper.The distinct scattering behaviors of the isotropic and anisotropic scattering targets are employed to formulate a composite projection operator.Then,the sparse constraint is utilized to suppress the cross-projection energy and imaging of the mix-received wide-angle SAR data is realized.Finally,the imagery of the anisotropic scattering targets can be derived with improved focal quality and interpretability.Numerical simulation verifies the validity of the proposed methodology.The resolution and resolution of the reconstructed image have been significantly improved.

Key words: wide-angle synthetic aperture radar, anisotropic scattering, joint sparse-based processing

中图分类号: 

  • TN975
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