多方位角观测星载SAR技术研究

陈杰 杨威 王鹏波 曾虹程 门志荣 李春升

陈杰, 杨威, 王鹏波, 等. 多方位角观测星载SAR技术研究[J]. 雷达学报, 2020, 9(2): 205–220. doi: 10.12000/JR20015
引用本文: 陈杰, 杨威, 王鹏波, 等. 多方位角观测星载SAR技术研究[J]. 雷达学报, 2020, 9(2): 205–220. doi: 10.12000/JR20015
CHEN Jie, YANG Wei, WANG Pengbo, et al. Review of novel azimuthal multi-angle observation spaceborne SAR technique[J]. Journal of Radars, 2020, 9(2): 205–220. doi: 10.12000/JR20015
Citation: CHEN Jie, YANG Wei, WANG Pengbo, et al. Review of novel azimuthal multi-angle observation spaceborne SAR technique[J]. Journal of Radars, 2020, 9(2): 205–220. doi: 10.12000/JR20015

多方位角观测星载SAR技术研究

DOI: 10.12000/JR20015
基金项目: 国家自然科学基金(61861136008, 61701012)
详细信息
    作者简介:

    陈 杰(1973–),男,河南郑州人,博士,教授。2002年在北京航空航天大学电子信息工程学院获博士学位,现为北京航空航天大学教授。主要研究方向包括:高分辨率宽覆盖星载SAR成像探测机理、超高分辨率星载SAR成像理论与方法、星载SAR电离层效应精细补偿等。发表SCI论文近60篇,授权发明专利30余项。曾获得军队科技进步一等奖1项、国防科技进步二等奖1项、霍英东青年教师奖等。E-mail: chenjie@buaa.edu.cn

    杨 威(1983–),男,湖北宜昌人,博士,副教授。北京航空航天大学,信号与信息处理专业,主要从事星载SAR高分辨率雷达信号仿真与成像技术、新体制雷达技术的研究。E-mail: yangweigigi@buaa.edu.cn

    王鹏波(1979–),男,江西波阳人,副教授。研究方向为新体制合成孔径雷达成像,高分辨率雷达成像处理技术,多元信息融合技术。E-mail: wangpb7966@buaa.edu.cn

    曾虹程(1989–),男,四川宣汉人,博士,讲师。2016年在北京航空航天大学电子信息工程学院获博士学位,现为北京航空航天大学讲师。主要研究星载SAR成像处理、外辐射源雷达运动目标探测、星载SAR闪烁补偿等。发表SCI论文6篇,授权发明专利7项。E-mail: zenghongcheng@buaa.edu.cn

    门志荣(1988–),男,山东莱西人,博士,北京航空航天大学,信号与信息处理专业,主要从事新体制成像雷达系统设计和仿真技术等方面的研究工作。E-mail: menzhirong@buaa.edu.cn

    李春升(1963–),男,天津人,北京航空航天大学教授,博士生导师,主要从事星载SAR系统总体与仿真、多源遥感图像信息融合、信息获取与处理等方面的研究工作。E-mail: lichunsheng@buaa.edu.cn

    通讯作者:

    杨威 yangweigigi@buaa.edu.cn

    李春升 lichunsheng@buaa.edu.cn

  • 责任主编:王宇 Corresponding Editor: WANG Yu
  • 中图分类号: TN957

Review of Novel Azimuthal Multi-angle Observation Spaceborne SAR Technique

Funds: The National Natural Science Foundation of China (NSFC)(61861136008, 61701012)
More Information
  • 摘要: 该文针对多方位角观测星载SAR新技术进行综述。首先分析了当前国内外SAR卫星发展现状和趋势,并从多个角度对比综述了其对地观测的能力。在此基础上,结合当前应用需求对多方位角观测星载SAR工作新模式进行了综述,解析其工作机理,并结合试验结果总结分析了多方位角观测星载SAR在目标散射信息、几何信息和运动信息获取方面的优势。最后,对多方位角观测星载SAR技术的发展进行了总结和展望。

     

  • 图  1  镶嵌模式工作示意图

    Figure  1.  Illustration of mosaic mode

    图  2  WorldSAR星座工作示意图

    Figure  2.  Illustration of WorldSAR constellation

    图  3  SAR-lupe卫星星座

    Figure  3.  Illustration of SAR-lupe constellation

    图  4  Capella卫星星座构成示意图

    Figure  4.  Illustration of Capella constellation

    图  5  斜距随扫描角度变化曲线

    Figure  5.  Slant range varying with squint angle

    图  6  回波窗数据接收示意图

    Figure  6.  Illustration of the receive window

    图  7  固定脉冲间隔与方位非均匀采样体制下脉冲发射与回波接收示意图

    Figure  7.  Illustration of receiving signal for uniform and non-uniform sampling strategy

    图  8  点阵目标场景回波信号仿真结果

    Figure  8.  Echo data of point targets using uniform and non-uniform sampling

    图  9  星载SAR多方位角观测

    Figure  9.  Illustrations of azimuthal multi-angles observation

    图  10  多方位角观测动目标检测、跟踪模式

    Figure  10.  Movingt target detection mode based on azimuthal multi-angles observation

    图  11  速度矢量提取流程图

    Figure  11.  The flowchart of velocity vector estimation

    图  12  方位向速度估计流程图

    Figure  12.  The flowchart of azimuth velocity estimation

    图  13  距离向速度估计流程图

    Figure  13.  The flowchart of range velocity estimation

    图  14  多角度动目标序贯图像(高铁)

    Figure  14.  Azimuthal multi-angles SAR images (high-speed railway)

    图  15  多方位角观测SAR图像斑点噪声抑制流程图

    Figure  15.  The flowchart for speckle noise suppression based on azimuthal multi-angles SAR images

    图  16  滤波处理结果

    Figure  16.  Filtering results

    图  17  斜视条件下旁瓣抑制处理流程

    Figure  17.  The flowchart for sidelobe suppression in squint

    图  18  斜视条件下旁瓣抑制处理试验结果

    Figure  18.  Sidelobe suppression results

    图  19  多方位角观测星载SAR信噪比提升流程图

    Figure  19.  The flowchart of SNR improvement based on azimuthal multi-angles observation

    图  20  多方位角观测SAR图像目标信噪比提升

    Figure  20.  SNR improvement result based on azimuthal multi-angles observation

    图  21  多方位角观测SAR超分辨率处理结果

    Figure  21.  Super-resolution processing result based on azimuthal multi-angles observation

    图  22  几何观测模型

    Figure  22.  Geometric observation model

    图  23  多方位角SAR图像配准流程图

    Figure  23.  The flowchart of image registration based on azimuthal multi-angles observation

    图  24  立体定位仿真结果示意图

    Figure  24.  Three dimension location results

    图  25  多方位角观测星载SAR三维成像处理流程

    Figure  25.  The flowchart of three dimension imaging based on azimuthal multi-angles observation

    图  26  多方位角观测SAR三维成像仿真结果示意图

    Figure  26.  Three dimension imaging result based on azimuthal multi-angles observation

    表  1  辐射分辨率分析结果

    Table  1.   Radiation resolution analysis results

    等效视数辐射分辨率(dB)
    原图0.973.03
    单帧5.301.56
    2幅29.640.73
    3幅43.280.61
    4幅52.270.56
    下载: 导出CSV
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  • 收稿日期:  2020-03-09
  • 修回日期:  2020-04-27
  • 网络出版日期:  2020-04-01

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