基于稀疏重构的全极化SAR联合多维重建

孙豆 路东伟 邢世其 杨潇 李永祯 王雪松

孙豆, 路东伟, 邢世其, 等. 基于稀疏重构的全极化SAR联合多维重建[J]. 雷达学报, 2020, 9(5): 865–877. doi: 10.12000/JR20092
引用本文: 孙豆, 路东伟, 邢世其, 等. 基于稀疏重构的全极化SAR联合多维重建[J]. 雷达学报, 2020, 9(5): 865–877. doi: 10.12000/JR20092
SUN Dou, LU Dongwei, XING Shiqi, et al. Full-polarization SAR joint multidimensional reconstruction based on sparse reconstruction[J]. Journal of Radars, 2020, 9(5): 865–877. doi: 10.12000/JR20092
Citation: SUN Dou, LU Dongwei, XING Shiqi, et al. Full-polarization SAR joint multidimensional reconstruction based on sparse reconstruction [J]. Journal of Radars, 2020, 9(5): 865–877. doi: 10.12000/JR20092

基于稀疏重构的全极化SAR联合多维重建

DOI: 10.12000/JR20092
基金项目: 国家自然科学基金(61971429, 61901499)
详细信息
    作者简介:

    孙 豆(1992–),女,博士研究生,主要研究方向为极化雷达成像和雷达信号处理。E-mail: sundou14@nudt.edu.cn

    路东伟(1992–),男,博士研究生,主要研究方向为合成孔径雷达对抗和雷达目标识别。E-mail: bookwormldw@qq.com

    邢世其(1984–),男,副研究员,主要研究方向为极化雷达成像、雷达信号处理以及合成孔径雷达对抗。E-mail: xingshiqi_paper@163.com

    杨 潇(1983–),男,助教,主要研究方向为雷达信号处理和雷达目标识别。E-mail: 297414430@qq.com

    李永祯(1977–),男,研究员,博士生导师,主要研究方向为极化雷达与电子对抗。E-mail: e0061@sina.com

    王雪松(1972–),男,教授,博士生导师,主要研究方向为极化雷达、目标识别与电子对抗。E-mail: wxs1019@vip.sina.com

    通讯作者:

    邢世其 xingshiqi_paper@163.com

  • 责任主编:仇晓兰 Corresponding Editor: QIU Xiaolan
  • 中图分类号: TN95

Full-polarization SAR Joint Multidimensional Reconstruction Based on Sparse Reconstruction

Funds: The National Natural Science Foundation of China (61971429, 61901499)
More Information
  • 摘要: 各极化通道独立处理和三维分步成像会忽视数据之间的关联性,造成散射中心的失配以及极化散射矩阵获取的不准确。鉴于此,该文提出一种基于稀疏重构的全极化联合多维重建方法。该方法通过设置联合稀疏约束对所有极化通道及所有维度进行联合,将全极化多维重建建模为多通道联合稀疏重构问题。通过数据插值对模型简化后,结合三维快速傅里叶变换、共轭梯度法和牛顿迭代法给出一种高效的模型求解方法,可以同时得到极化散射矩阵和目标三维信息。该文方法保证了不同极化通道、不同维度的稀疏支撑集一致,且充分利用了数据之间的关联性带来的额外信息。基于仿真数据和电磁计算数据的实验结果表明,该方法的性能不受目标类型影响,具有一定的抗噪性,能有效地获取目标的多维重建结果,得到的三维成像结果分辨率高且极化散射矩阵估计精度高。

     

  • 图  1  各个极化通道的仿真目标成像结果

    Figure  1.  Each polarization channel’s imaging results of simulated targets

    图  2  仿真目标全极化联合多维重建结果

    Figure  2.  Full polarization joint multi-dimensional reconstruction results of simulated targets

    图  3  Slicy的CAD模型

    Figure  3.  CAD model of Slicy

    图  4  各个极化通道的Slicy成像结果

    Figure  4.  Each polarization channel’s imaging results of Slicy

    图  5  Slicy全极化联合多维重建结果

    Figure  5.  Full polarization joint multi-dimensional reconstruction results of Slicy

    图  6  卫星的CAD模型

    Figure  6.  CAD model of satellite

    图  7  各个极化通道的卫星成像结果

    Figure  7.  Each polarization channel’s imaging results of satellite

    图  8  卫星全极化联合多维重建结果

    Figure  8.  Full polarization joint multi-dimensional reconstruction results of satellite

    表  1  全极化联合多维重建方法的步骤

    Table  1.   Steps of full polarization joint multi-dimensional reconstruction method

     (1) 设定初值:${{\tilde{ \beta }}^n} = {{0}}$;
     (2) 对每个极化通道,
       (a) 使用3-D NUFFT对${G_l}(k_x^{},k_y^{},k_z^{})$进行插值,得到
         ${\hat G_l}(\hat k_x^{},\hat k_y^{},\hat k_z^{})$,
       (b) 对${\hat G_l}(\hat k_x^{},\hat k_y^{},\hat k_z^{})$进行3-D IFFT,并向量化结果得到
         ${{\hat{ A}}^{\rm{H}}}{{\hat{ b}}_l}$;
     (3) 根据所有极化通道的${{\hat{ A}}^{\rm{H}}}{{\hat{ b}}_l}$,得到${{\hat{ A}}^{\rm{H}}}{\hat{ b}}$;
     (4) 结合3-D FFT,3-D IFFT和共轭梯度法计算
       ${(2{{\hat{ A}}^{\rm{H}}}{\hat{ A}} + \mu p{{D}}({{\tilde{ \beta }}^n}))^{ - 1}}$;
     (5) 根据${{\hat{ A}}^{\rm{H}}}{\hat{ b}}$,计算${(2{{\hat{ A}}^{\rm{H}}}{\hat{ A}} + \mu p{{D}}({{\tilde{ \beta }}^n}))^{ - 1}}2{{\hat{ A}}^{\rm{H}}}{\hat{ b}}$;
     (6) 按式(17)迭代计算${{\tilde{ \beta }}^{n + 1}}$,当${ {\left\| { { { {\tilde{ \beta } } }^{n + 1} } - { { {\tilde{ \beta } } }^n} } \right\|_2^2} \Bigr/ {\left\| { { { {\tilde{ \beta } } }^n} } \right\|_2^2} } < \tau$时
       得到解${\tilde{ \beta }} = {{\tilde{ \beta }}^{n + 1}}$;
     (7) 对${\tilde{ \beta }}$进行Cameron分解,得到全极化联合多维重建结果。
    下载: 导出CSV

    表  2  仿真目标信息

    Table  2.   Information of simulated targets

    类型散射矩阵幅度位置
    三面角$\left[ {\begin{array}{*{20}{c}} 1&0 \\ 0&1 \end{array}} \right]$1$x = 1.0\,{\rm{m} },y = - 0.5\,{\rm{m} },z = 0.7\,{\rm{m} }$
    偶极子$\left[ {\begin{array}{*{20}{c}} 1&0 \\ 0&0 \end{array}} \right]$1$x = - 1.0\,{\rm{m} },y = 0.5\,{\rm{m} },z = - 0.7\,{\rm{m} }$
    30°二面角$\left[ {\begin{array}{*{20}{c}} {0.5}&{0.866} \\ {0.866}&{ - 0.5} \end{array}} \right]$1$x = - 0.5\,{\rm{m} },y = - 1.0\,{\rm{m} },z = 0.7\,{\rm{m} }$
    45°二面角$\left[ {\begin{array}{*{20}{c}} 0&1 \\ 1&0 \end{array}} \right]$1$x = 0.5\,{\rm{m} },y = 1.0\,{\rm{m} },z = - 0.7\,{\rm{m} }$
    下载: 导出CSV

    表  3  目标的仿真参数

    Table  3.   Simulation parameters of simulated targets

    雷达扫描参数
    频率范围[8 GHz, 12 GHz]
    频率采样间隔20 MHz
    方位角范围[–4°, 6°]
    方位角采样间隔1/14°
    俯仰角范围[18°, 42°]
    俯仰角采样间隔1/14°
    极化方式HH, HV, VH, VV
    下载: 导出CSV

    表  4  仿真目标的极化散射矩阵估计结果

    Table  4.   Polarization scattering matrix estimation results of simulated targets

    方法目标类型三面角偶极子30°二面角45°二面角
    联合多维重建变型前$\left[ {\begin{array}{*{20}{c}} {0.4\operatorname{j} }&0 \\ 0&{0.4{\rm{j}}} \end{array}} \right]$$\left[ {\begin{array}{*{20}{c}} { - 0.38{\rm{j}}}&0 \\ 0&0 \end{array}} \right]$$\left[ {\begin{array}{*{20}{c}} { - 0.21}&{ - 0.37} \\ { - 0.37}&{0.21} \end{array}} \right]$$\left[ {\begin{array}{*{20}{c}} 0&{ - 0.42} \\ { - 0.42}&0 \end{array}} \right]$
    变型后${\color{Blue}{0.4} }{ {\rm{e} }^{ {\rm{j} }{ {90}^ \circ } } }{\color{red}{\left[ {\begin{array}{*{20}{c} } 1&0 \\ 0&1 \end{array} } \right] } }$${\color{Blue}{0.38} }{ {\rm{e} }^{ {\rm{j} }( - { {90}^ \circ })} }{\color{red}{\left[ {\begin{array}{*{20}{c} } 1&0 \\ 0&0 \end{array} } \right] } }$${\color{Blue}{0.42} }{ {\rm{e} }^{ {\rm{j} }{ {180}^ \circ } } }{\color{red}{\left[ {\begin{array}{*{20}{c} } {0.5}&{0.88} \\ {0.88}&{ - 0.5} \end{array} } \right]} }$${\color{Blue}{0.42} }{ {\rm{e} }^{ {\rm{j} }{ {180}^ \circ } } }{\color{red}{\left[ {\begin{array}{*{20}{c} } 0&1 \\ 1&0 \end{array} } \right]}}$
    独立多维重建变型前$\left[ {\begin{array}{*{20}{c}} {0.38{\rm{j}}}&0 \\ 0&{0.38{\rm{j}}} \end{array}} \right]$$\left[ {\begin{array}{*{20}{c}} { - 0.38{\rm{j}}}&0 \\ 0&0 \end{array}} \right]$$\left[ {\begin{array}{*{20}{c}} { - 0.13 + 0.02{\rm{j}}}&{ - 0.34 + 0.06{\rm{j}}} \\ { - 0.34 + 0.06{\rm{j}}}&{0.13 - 0.02{\rm{j}}} \end{array}} \right]$$\left[ {\begin{array}{*{20}{c}} 0&{ - 0.4 - 0.07{\rm{j}}} \\ { - 0.4 - 0.07{\rm{j}}}&0 \end{array}} \right]$
    变型后${\color{Blue}{0.38} }{ {\rm{e} }^{ {\rm{j} }{ {89}^ \circ } } }{\color{red}{\left[ {\begin{array}{*{20}{c} } 1&0 \\ 0&1 \end{array} } \right]}}$${\color{Blue}{0.38} }{ {\rm{e} }^{ {\rm{j} }( - { {89}^ \circ })} }{\color{red}{\left[ {\begin{array}{*{20}{c} } 1&0 \\ 0&0 \end{array} } \right]}}$${\color{Blue}{0.26} }{ {\rm{e} }^{ {\rm{j} }{ {170}^ \circ } } }{\color{red}{\left[ {\begin{array}{*{20}{c} } {0.5}&{1.35} \\ {1.35}&{ - 0.5} \end{array} } \right]}}$${\color{Blue}{0.41} }{ {\rm{e} }^{ {\rm{j} }( - { {170}^ \circ })} }{\color{red}{\left[ {\begin{array}{*{20}{c} } 0&1 \\ 1&0 \end{array} } \right]}}$
    下载: 导出CSV

    表  5  不同SNR下仿真目标的极化散射矩阵估计结果

    Table  5.   Polarization scattering matrix estimation results of simulated targets under different SNR

    目标类型SNR=13 dBSNR=18 dBSNR=23 dB


    变型
    $\left[\!\! {\begin{array}{*{20}{c}} {0.01 + 0.39{\rm{j}}} \!\!\!&\!\!\! {0.02} \\ {0.01 + 0.01{\rm{j}}} \!\!\!&\!\!\! { - 0.02 + 0.39{\rm{j}}} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} { - 0.02 + 0.4{\rm{j}}} \!\!\!&\!\!\! {0.01 - 0.02{\rm{j}}} \\ {0.03{\rm{j}}} \!\!\!&\!\!\! {0.01 + 0.4{\rm{j}}} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} {0.01 + 0.41{\rm{j}}} \!\!\!&\!\!\! {0.02{\rm{j}}} \\ { - 0.01} \!\!\!&\!\!\! {0.01 + 0.40{\rm{j}}} \end{array}} \!\!\right]$
    变型
    ${\color{blue}{0.39}}{ {\rm{e} }^{ {\rm{j8} }{ {8.7}^ \circ } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } 1 \!\!\!&\!\!\! {0.02 - 0.06{\rm{j} } } \\ {0.03 - 0.04{\rm{j} } } \!\!\!&\!\!\! {1.03 + 0.07{\rm{j} } } \end{array} } \!\!\right]}}$${\color{blue}{0.4}}{ {\rm{e} }^{ {\rm{j92} }{\rm{.} }{ {\rm{2} }^{\rm{o} } } }}{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } 1 \!\!\!&\!\!\! { - 0.04 - 0.03{\rm{j} } } \\ {0.09 - 0.01{\rm{j} } } \!\!\!&\!\!\! {1.01 - 0.06{\rm{j} } } \end{array} } \!\!\right] }}$${\color{blue}{0.41} }{ {\rm{e} }^{ {\rm{j} }{ {88.6}^ \circ } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } 1 \!\!\!&\!\!\! {0.04} \\ {0.02 + 0.03{\rm{j} } } \!\!\!&\!\!\! {0.97 - 0.01{\rm{j} } } \end{array} } \!\!\right]} }$


    变型
    $\left[\!\! {\begin{array}{*{20}{c}} {0.02 - 0.38{\rm{j}}} \!\!\!&\!\!\! {0.01{\rm{j}}} \\ { - 0.02 + 0.02{\rm{j}}} \!\!\!&\!\!\! { - 0.03{\rm{j}}} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} {0.02 - 0.41{\rm{j}}} \!\!\!&\!\!\! {0.02 + 0.01{\rm{j}}} \\ { - 0.01 + 0.01{\rm{j}}} \!\!\!&\!\!\! {0.01} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} { - 0.4{\rm{j}}} \!\!\!&\!\!\! {0.02{\rm{j}}} \\ 0 \!\!\!&\!\!\! 0 \end{array}} \!\!\right]$
    变型
    ${\color{blue}{0.3} }{\rm{8} }{ {\rm{e} }^{ {\rm{j( - 86} }{\rm{.} }{ {\rm{8} }^{\rm{o} } }{\rm{)} } } }\!{\color{red}{\left[\!\!\!\! {\begin{array}{*{20}{c} } 1 \!\!\!&\!\!\! { - 0.03} \\ { - 0.05 \!-\! 0.05{\rm{j} } } \!\!\!&\!\!\! {0.08 \!-\! 0.13{\rm{j} } } \end{array} } \!\!\!\right]} }$$\;{\color{blue}{0.41} }{ {\rm{e} }^{ {\rm{j( - 87} }{\rm{.} }{ {\rm{3} }^{\rm{o} } }{\rm{)} } } }\!{\color{red}{\left[\!\!\!\! {\begin{array}{*{20}{c} } 1 \!\!\!&\!\!\! { - 0.02 \!+\! 0.06{\rm{j} } } \\ { - 0.02 \!-\! 0.01{\rm{j} } } \!\!\!&\!\!\! { - 0.01 \!+\! 0.01{\rm{j} } } \end{array} } \!\!\!\!\right]} }$${\color{blue}{0.4} }{ {\rm{e} }^{ {\rm{j - 9} }{ {\rm{0} }^{\rm{o} } } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } 1 \!\!\!&\!\!\! { - 0.05} \\ 0 \!\!\!&\!\!\! 0 \end{array} } \!\!\right]} }$
    30°
    二面
    变型
    $\left[\!\! {\begin{array}{*{20}{c}} { - 0.16 + 0.02{\rm{j}}} \!\!\!&\!\!\! { - 0.28 + 0.04{\rm{j}}} \\ { - 0.39 + 0.07{\rm{j}}} \!\!\!&\!\!\! {0.2 - 0.04{\rm{j}}} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} { - 0.22 + 0.03{\rm{j}}} \!\!\!&\!\!\! { - 0.37 + 0.06{\rm{j}}} \\ { - 0.39 + 0.06{\rm{j}}} \!\!\!&\!\!\! {0.24 - 0.04{\rm{j}}} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} { - 0.22 + 0.04{\rm{j}}} \!\!\!&\!\!\! { - 0.39 + 0.06{\rm{j}}} \\ { - 0.37 + 0.05{\rm{j}}} \!\!\!&\!\!\! {0.22 - 0.04{\rm{j}}} \end{array}} \!\!\right]$
    变型
    ${\color{blue}{0.33} }{ {\rm{e} }^{ {\rm{j172} }{\rm{.} }{ {\rm{4} }^{\rm{o} } } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } {0.5} \!\!\!&\!\!\! {0.84} \\ {1.18 - 0.07{\rm{j} } } \!\!\!&\!\!\! { - 0.6 + 0.04{\rm{j} } } \end{array} } \!\!\right]} }$${\color{blue}{0.45} }{ {\rm{e} }^{ {\rm{j172} }{\rm{.} }{ {\rm{3} }^{\rm{o} } } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } {0.5} \!\!\!&\!\!\! {0.85 - 0.03{\rm{j} } } \\ {0.89 - 0.02{\rm{j} } } \!\!\!&\!\!\! { - 0.53 + 0.03{\rm{j} } } \end{array} } \!\!\right]} }$${\color{blue}{0.45} }{ {\rm{e} }^{ {\rm{j169} }{\rm{.} }{ {\rm{4} }^{\rm{o} } } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } {0.5} \!\!\!&\!\!\! {0.87 + 0.02{\rm{j} } } \\ {0.84 + 0.04{\rm{j} } } \!\!\!&\!\!\! { - 0.5} \end{array} } \!\!\right]} }$
    45°
    二面
    变型
    $\left[\!\! {\begin{array}{*{20}{c}} {0.02} \!\!\!&\!\!\! { - 0.41 - 0.06{\rm{j}}} \\ { - 0.45 - 0.06{\rm{j}}} \!\!\!&\!\!\! { - 0.02} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} { - 0.01 + 0.01{\rm{j}}} \!\!\!&\!\!\! { - 0.46 - 0.06{\rm{j}}} \\ { - 0.44 - 0.08{\rm{j}}} \!\!\!&\!\!\! { - 0.01{\rm{j}}} \end{array}} \!\!\right]$$\left[\!\! {\begin{array}{*{20}{c}} 0 \!\!\!&\!\!\! { - 0.43 - 0.01{\rm{j}}} \\ { - 0.42 - 0.08{\rm{j}}} \!\!\!&\!\!\! {0.02{\rm{j}}} \end{array}} \!\!\right]$
    变型
    ${\color{blue}{0.42} }{ {\rm{e} }^{ {\rm{j( - 171} }{\rm{.} }{ {\rm{8} }^{\rm{o} } }{\rm{)} } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } { - 0.05} \!\!\!&\!\!\! 1 \\ {1.01} \!\!\!&\!\!\! {0.04} \end{array} } \!\!\right]} }$${\color{blue}{0.46} }{ {\rm{e} }^{ {\rm{j( - 172} }{\rm{.} }{ {\rm{4} }^{\rm{o} } }{\rm{)} } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } {0.02 \!-\! 0.01{\rm{j} } } \!\! & \!\! 1 \\ {0.96 \!+\! 0.05{\rm{j} } } \!\! & \!\! {0.01 \!+\! 0.02{\rm{j} } } \end{array} } \!\!\right]} }$${\color{blue}{0.44} }{ {\rm{e} }^{ {\rm{j( - 170} }{\rm{.} }{ {\rm{7} }^{\rm{o} } }{\rm{)} } } }{\color{red}{\left[\!\! {\begin{array}{*{20}{c} } 0 \!\!\!&\!\!\! 1 \\ {0.98 \!+\! 0.01{\rm{j} } } \!\!\!&\!\!\! { - 0.02 \!-\! 0.05{\rm{j} } } \end{array} } \!\!\right]} }$
    下载: 导出CSV

    表  6  Slicy的仿真参数

    Table  6.   Simulation parameters of Slicy

    参数类型参数取值
    雷达扫描参数频率范围[8 GHz, 12 GHz]
    频率采样间隔20 MHz
    方位角范围[–4°, 6°]
    方位角采样间隔1/14°
    俯仰角范围[18°, 42°]
    俯仰角采样间隔1/14°
    极化方式HH, HV, VH, VV
    场景参数方位角0°沿x 轴正方向
    俯仰角0°沿z 轴正方向
    x 轴方向场景范围[–0.6 m, 0.6 m]
    y 轴方向场景范围[–0.9 m, 0.9 m]
    z 轴方向场景范围[0 m, 0.75 m]
    下载: 导出CSV

    表  7  卫星的仿真参数

    Table  7.   Simulation parameters of satellite

    参数类型参数取值
    雷达扫描参数频率范围[9 GHz, 11 GHz]
    频率采样间隔20 MHz
    方位角范围[–20°, 20°]
    方位角采样间隔0.1°
    俯仰角范围[45°, 65°]
    俯仰角采样间隔0.2°
    极化方式HH, HV, VH, VV
    场景参数方位角0°沿x 轴正方向
    俯仰角0°沿z 轴正方向
    x 轴方向场景范围[–0.5 m, 0.5 m]
    y 轴方向场景范围[–4.105 m, 4.105 m]
    z 轴方向场景范围[–1.775 m, 1.775 m]
    下载: 导出CSV
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    QUE Xiaofeng, NIE Zaiping, and HU Jun. Analysis of EM scattering by composite conducting and dielectric object using combined field integral equation with MLFMA[J]. Acta Electronica Sinica, 2007, 35(11): 2062–2066. doi: 10.3321/j.issn:0372-2112.2007.11.006
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  • 收稿日期:  2020-07-06
  • 修回日期:  2020-09-24
  • 网络出版日期:  2020-10-28

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