多平台合成孔径雷达成像算法综述

邢孟道 林浩 陈溅来 孙光才 严棒棒

邢孟道, 林浩, 陈溅来, 等. 多平台合成孔径雷达成像算法综述[J]. 雷达学报, 2019, 8(6): 732–757. doi: 10.12000/JR19102
引用本文: 邢孟道, 林浩, 陈溅来, 等. 多平台合成孔径雷达成像算法综述[J]. 雷达学报, 2019, 8(6): 732–757. doi: 10.12000/JR19102
XING Mengdao, LIN Hao, CHEN Jianlai, et al. A review of imaging algorithms in multi-platform-borne synthetic aperture radar[J]. Journal of Radars, 2019, 8(6): 732–757. doi: 10.12000/JR19102
Citation: XING Mengdao, LIN Hao, CHEN Jianlai, et al. A review of imaging algorithms in multi-platform-borne synthetic aperture radar[J]. Journal of Radars, 2019, 8(6): 732–757. doi: 10.12000/JR19102

多平台合成孔径雷达成像算法综述

DOI: 10.12000/JR19102
基金项目: 国家自然科学基金(61901531)
详细信息
    作者简介:

    邢孟道(1975–),男,浙江嵊州人,博士生导师、教授,现任西安电子科技大学前沿交叉研究院副院长。2002年获西安电子科技大学工学博士学位并留校工作,2004年破格评为教授。2018年成为中国电子学会会士。曾获国家杰出青年科学基金、国防科技卓越青年人才基金、中青年科技创新领军人才。曾获陕西省科学技术奖一等奖、陕西省创新团队。主要研究雷达成像,侧重于精细成像、灵活成像和大斜视成像等。先后主持国家973、863计划以及预研等多个项目。近五年在TGRS和JSTAR等国际遥感期刊发表论文113篇,SCI他引1617次,H因子42。培养和协助培养“百优”和“省优”博士论文6篇。任IEEE TGRS副主编、IEEE Fellow等。近五年连续入选Elsevier电子和电气工程领域“中国高被引学者榜单”。E-mail: xmd@xidian.edu.cn

    林 浩(1996–),男,浙江嵊州人,西安电子科技大学博士研究生,主要研究机载多模式SAR运动补偿技术与成像等。E-mail: LH_Future1996@163.com

    陈溅来(1990–),男,湖南衡阳人,副教授,硕士生导师,现工作于中南大学航空航天学院。2013~2018年在西安电子科技大学雷达信号处理国家重点实验室攻读博士学位,并于2018年获工学博士学位。2018年评为副教授、硕士生导师,2019年获中国电子教育学会优秀博士学位论文提名奖。主要研究机/星载SAR非线性轨迹信号建模与成像。先后主持国家自然科学基金和航天基金等多个项目。近五年在TGRS、JSTAR和GRSL等国际遥感期刊发表论文10余篇。E-mail: jianlaichen@163.com

    孙光才(1984–),男,湖北孝感汉川人,博士生导师,副教授,IEEE会员。自2007年以来,一直专注于雷达成像技术的研究,目前为西安电子科技大学“雷达信号处理国家重点实验室”学术骨干。主要从事新体制雷达、雷达成像、动目标成像等研究,已在IEEE Trans. on GRS等国际权威刊物发表学术论文多篇。研究成果曾入围了APSAR2013 Young Scientist Award Competition。曾获得2015年陕西省优秀博士学位论文奖和2015年西安电子科技大学优秀博士学位论文奖。E-mail: gcsun@xidian.edu.cn

    严棒棒(1995–),男,江苏宿迁人,西安电子科技大学硕士研究生,主要研究机载滑动聚束SAR成像及GPU实现等。E-mail: Yan_Chrysanthemum@outlook.com

    通讯作者:

    邢孟道 xmd@xidian.edu.cn

    陈溅来 jianlaichen@163.com

  • 中图分类号: TN95

A Review of Imaging Algorithms in Multi-platform-borne Synthetic Aperture Radar

Funds: The National Natural Science Foundation of China (61901531)
More Information
  • 摘要: 多平台合成孔径雷达(SAR)是合成孔径雷达极具发展潜力的研究方向之一,该文集中讨论了多平台SAR的成像算法,包括机载SAR、弹载SAR和星载SAR平台。该文首先简要阐述了SAR回波模型的建立,包括“斜距模型和成像模式”,然后综述了近年来机载SAR、弹载SAR和星载SAR成像算法的研究进展,并详细阐述了各平台固有的特性以及面临的挑战,最后对未来多平台SAR成像算法研究的发展趋势进行了展望。

     

  • 图  1  典型线性轨迹几何模型

    Figure  1.  Geometric model of typical linear trajectory

    图  2  Stripmap,Spotlight和Scan SAR工作几何

    Figure  2.  Working geometry of Stripmap, Spotlight and Scan SAR

    图  3  滑动聚束及TOPS SAR工作几何

    Figure  3.  Working geometry of Sliding Spotlight and TOPS SAR

    图  4  X波段1 m分辨率机载运动补偿前后成像结果图

    Figure  4.  1 m resolution imaging results of airborne SAR before and after motion compensation in X band

    图  5  带宽合成前后的铁路周围成像图

    Figure  5.  Imaging results around the railway before and after band combination

    图  6  采用Two-step进行运动补偿后的RCMC结果

    Figure  6.  The results of RCMC after motion compensation by Two-step algorithm

    图  7  采用文献[54]所提方法进行运动补偿后的RCMC结果

    Figure  7.  The results of RCMC after motion compensation by the algorithm in Ref. [54]

    图  8  0.04 m超高分辨成像结果

    Figure  8.  Imaging results with 0.04 m ultrahigh resolution

    图  9  0.04 m超高分辨局部成像结果

    Figure  9.  Local imaging results with 0.04 m ultrahigh resolution

    图  10  X波段0.1 m大斜视成像结果

    Figure  10.  0.1 m resolution imaging results in squint mode and X band

    图  11  X波段0.8 m分辨率大斜视50°方位重采样成像结果

    Figure  11.  0.8 m resolution imaging results by azimuth resampling with squint angle of 50° and X band

    图  12  Ku波段1.36 m分辨率65°大斜视成像结果

    Figure  12.  1.36 m resolution imaging results in 65° of squint mode in Ku band

    图  13  Ku波段1.5 m大斜视俯冲段处理结果

    Figure  13.  Ku band imaging results of 1.5 m resolution in the case of dive trajectory and squint mode

    图  14  多通道成像流程图

    Figure  14.  The flowchart of multi-channel imaging

    图  15  GF-3号1.5 m条带SAR图像

    Figure  15.  1.5 m resolution SAR imaging results in GF-3

    图  16  Ku波段3.5 m TOPS SAR数据聚焦结果

    Figure  16.  3.5 m resolution TOPS SAR imaging results in Ku band

    图  17  C波段1 m聚束成像结果

    Figure  17.  1 m resolution Spotlight SAR imaging results in C band

    图  18  TerraSAR-X 0.16 m分辨率SAR图像[24]

    Figure  18.  0.16 m resolution SAR imaging of TerraSAR-X[24]

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  • 收稿日期:  2019-11-22
  • 修回日期:  2019-12-24
  • 网络出版日期:  2019-12-01

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