联合距离方位二维NCS的星弹双基前视SAR成像算法

刘裕洲 蔡天倚 李亚超 宋炫 王选琪 安培赟

刘裕洲, 蔡天倚, 李亚超, 等. 联合距离方位二维NCS的星弹双基前视SAR成像算法[J]. 雷达学报, 2023, 12(6): 1202–1214. doi: 10.12000/JR23144
引用本文: 刘裕洲, 蔡天倚, 李亚超, 等. 联合距离方位二维NCS的星弹双基前视SAR成像算法[J]. 雷达学报, 2023, 12(6): 1202–1214. doi: 10.12000/JR23144
LIU Yuzhou, CAI Tianyi, LI Yachao, et al. A range and azimuth combined two-dimensional NCS algorithm for spaceborne-missile bistatic forward-looking SAR[J]. Journal of Radars, 2023, 12(6): 1202–1214. doi: 10.12000/JR23144
Citation: LIU Yuzhou, CAI Tianyi, LI Yachao, et al. A range and azimuth combined two-dimensional NCS algorithm for spaceborne-missile bistatic forward-looking SAR[J]. Journal of Radars, 2023, 12(6): 1202–1214. doi: 10.12000/JR23144

联合距离方位二维NCS的星弹双基前视SAR成像算法

DOI: 10.12000/JR23144
基金项目: 国家重点研发计划(2018YFB2202500),国家自然科学基金(62171337, 62101396),陕西省重点研发计划(2017KW-ZD-12),陕西省杰出青年基金(S2020-JC-JQ-0056),中央高校基本科研基金(XJS212205),西安电子科技大学研究生创新基金(YJSJ23016)
详细信息
    作者简介:

    刘裕洲,博士生,研究方向为双基地合成孔径雷达(BiSAR)前视成像和地面动目标成像(GMTI)技术

    蔡天倚,硕士,研究方向为软件工程、雷达信号处理等

    李亚超,教授,博士生导师,研究方向为合成孔径雷达(SAR)/逆SAR (ISAR)成像、弹载SAR成像、地面运动目标检测(GMTI)、SAR图像的匹配和定向、基于现场可编程门阵列(FPGA)和数字信号处理(DSP)技术的实时信号处理以及分布式雷达

    宋 炫,博士,研究方向为双基地合成孔径雷达(SAR)前视成像技术

    王选琪,博士生,研究方向为双基地合成孔径雷达前视成像与协同探测技术

    安培赟,硕士生,研究方向为双基地合成孔径雷达前视成像与运动补偿技术

    通讯作者:

    李亚超 ycli@mail.xidian.edu.cn

  • 责任主编:李悦丽 Corresponding Editor:  LI Yueli
  • 中图分类号: TN957.52

A Range and Azimuth Combined Two-dimensional NCS Algorithm for Spaceborne-missile Bistatic Forward-looking SAR

Funds: The National Key R&D Program of China (2018YFB2202500), The National Natural Science Foundation of China (62171337, 62101396), The Key R&D program of Shaanxi Province (2017KW-ZD-12), The Shaanxi Province Funds for Distinguished Young Youths (S2020-JC-JQ-0056), The Fundamental Research Funds for the Central Universities (XJS212205), The Innovation Fund of Xidian University (YJSJ23016)
More Information
  • 摘要: 星弹双基前视SAR能够全天时全天候获取导弹前方区域高分辨图像,是一种极具潜力的成像制导技术。然而,距离和方位参数的耦合与空变,阻碍着星弹双基前视SAR向高分辨成像发展。该文首先基于低轨星载照射源与高速前视的弹载接收平台构型,推导了回波信号的精确距离多普勒域解析式。然后,在距离向上,提出距离非线性变标(NCS)算法来均衡距离徙动和距离调频率,并在二维频域一致补偿;在方位向上,该文所提算法将收发机的方位调频率进行分解,利用方位NCS消除方位调频率在方位向上的高阶空变。最后,进行二维匹配滤波,得到全局聚焦良好的SAR图像。点目标和场景仿真验证了所提算法的有效性。

     

  • 图  1  星弹双基前视SAR几何构型

    Figure  1.  Geometry configuration of spaceborne-missile bistatic forward-looking SAR

    图  2  所提距离模型误差

    Figure  2.  The error of proposed range history model

    图  3  距离预处理效果对比

    Figure  3.  Comparison of range preprocessing effect

    图  4  NCS原理示意图

    Figure  4.  Principle diagram of NCS

    图  5  所提成像算法流程图

    Figure  5.  Flowchart of the proposed imaging algorithm

    图  6  仿真点目标分布

    Figure  6.  Distribution of simulation point targets

    图  7  距离预处理前后信号的二维频谱对比

    Figure  7.  Comparison of the signal in two-dimensional spectrum before and after range preprocessing

    图  8  所提算法的点仿真成像结果

    Figure  8.  The point simulation imaging results of the proposed algorithm

    图  9  不同算法的P1点二维等高线图

    Figure  9.  Two-dimensional contour maps of the point P1 using different algorithms

    图  10  不同算法的P1点方位剖面图

    Figure  10.  Azimuth profile of the point P1 using different algorithms

    图  11  不同算法的P1点距离剖面图

    Figure  11.  Range profile of the point P1 using different algorithms

    图  12  不同算法的P2点二维等高线图

    Figure  12.  Two-dimensional contour maps of the point P2 using different algorithms

    图  13  不同算法的P2点方位剖面图

    Figure  13.  Azimuth profile of the point P2 using different algorithms

    图  14  不同算法的P2点距离剖面图

    Figure  14.  Range profile of the point P2 using different algorithms

    图  15  所提算法的场景仿真成像结果

    Figure  15.  Scene simulation imaging results of the proposed algorithm

    图  16  不同算法的场景成像结果放大

    Figure  16.  The amplified scene imaging results of different algorithms

    图  17  不同算法的场景仿真孤立点分析

    Figure  17.  Isolated point analysis in scene simulation of different algorithms

    表  1  雷达系统仿真参数

    Table  1.   Simulation parameters of radar system

    参数 数值
    载波波长(m) 0.05
    系统带宽(MHz) 180
    合成孔径时间(s) 3
    卫星高度(km) 755
    卫星速度(m/s) 6800
    导弹作用距离(km) 46
    导弹沿速度方向加速度(m/s2) 80
    导弹垂直速度方向加速度(m/s2) 10
    导弹速度(m/s) 1020
    场景中心点位置(km) (0,45,0)
    下载: 导出CSV

    表  2  点目标成像性能评估

    Table  2.   Point target imaging performance evaluation

    点目标 成像算法 方位向 距离向
    分辨率(m) PSLR (dB) ISLR (dB) 分辨率(m) PSLR (dB) ISLR (dB)
    ${P_1}$ TNCS算法 2.17 N/A N/A 1.63 N/A N/A
    FNCS算法 1.85 –10.54 –8.06 1.13 –11.69 –9.39
    所提算法 1.82 –13.28 –10.06 1.08 –13.27 –10.14
    ${P_2}$ TNCS算法 2.23 N/A N/A 1.78 N/A N/A
    FNCS算法 1.88 –10.47 –7.81 1.19 –10.23 –8.52
    所提算法 1.83 –13.26 –10.02 1.09 –13.26 –10.12
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-08-29
  • 修回日期:  2023-11-11
  • 网络出版日期:  2023-12-11
  • 刊出日期:  2023-12-28

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