雷达对地成像技术多向演化趋势与规律分析

杨建宇

杨建宇. 雷达对地成像技术多向演化趋势与规律分析[J]. 雷达学报, 2019, 8(6): 669–692. doi: 10.12000/JR19099
引用本文: 杨建宇. 雷达对地成像技术多向演化趋势与规律分析[J]. 雷达学报, 2019, 8(6): 669–692. doi: 10.12000/JR19099
YANG Jianyu. Multi-directional evolution trend and law analysis of radar ground imaging technology[J]. Journal of Radars, 2019, 8(6): 669–692. doi: 10.12000/JR19099
Citation: YANG Jianyu. Multi-directional evolution trend and law analysis of radar ground imaging technology[J]. Journal of Radars, 2019, 8(6): 669–692. doi: 10.12000/JR19099

雷达对地成像技术多向演化趋势与规律分析

DOI: 10.12000/JR19099
基金项目: 国家自然科学基金重点项目(60632020),国家自然科学基金面上项目(61771113, 61671117)
详细信息
    作者简介:

    杨建宇(1963–),电子科技大学教授,博士生导师,校科技委主任,国务院学位委员会信息与通信工程学科评议组成员,中国电子学会雷达分会副主任委员。主要研究方向为雷达前视成像、实孔径超分辨成像、双多基合成孔径雷达成像。获国家出版基金资助出版专著1部。获省部级奖6项、国家技术发明二等奖2项。E-mail: jyyang@uestc.edu.cn

    通讯作者:

    杨建宇 jyyang@uestc.edu.cn

  • 1 严格意义上属于伪彩色,文中为表述方便,简称为彩色。2 中国科学院电子学研究所提供。
  • 3图8中的层析SAR是指多航过层析SAR。
  • 4图16中层析SAR指单航过层析SAR,例如图15所对应的成像方式。
  • 5这里采用视线横向分辨和视线纵向分辨的表述方式,而未采用方位分辨和距离分辨的表述方式,是为了便于从透镜成像的角度来类比合成孔径成像的原理。
  • 6为绘图标识方便,显著放大了波长和转角。例如,3 cm波长,0.3 m分辨,转角仅2.86°; θ在10°以内,sin θ/2≈θ/2,误差小于0.13%。
  • 中图分类号: TN95

Multi-directional Evolution Trend and Law Analysis of Radar Ground Imaging Technology

Funds: The Key Program of the National Natural Science Foundation of China (60632020), The General Program of The National Natural Science Foundation of China (61771113, 61671117)
More Information
  • 摘要: 该文从成像结果表征、孔径流形、信号通道、系统形态、观测方向、处理方法、实现机理、目标识别等方面剖析了雷达对地成像技术的多向演化态势,并试图从宏观的视角和大的时间尺度,分析和认识雷达对地成像技术发展的内外因素和发展规律,推演预测未来发展方向,以期为把握雷达对地成像技术发展的时代脉络和宏观趋势、契合需求和引领创新、推动发展和促进应用,提供另类的观察视角和思维方式。

     

  • 图  1  GF-3星载全极化SAR图像[11]

    Figure  1.  GF-3 spaceborne fully polarized SAR image[11]

    图  2  用色彩表征视向形变量的SAR图像[13]

    Figure  2.  SAR image with color representation of line-of-sight deformation[13]

    图  3  用颜色表征地物散射方向性的SAR图像[14]

    Figure  3.  SAR image with color representation of ground scattering directivity[14]

    图  4  干涉SAR成像原理及维苏威火山成像结果[16]

    Figure  4.  InSAR imaging principle and imaging result of Vesuvius volcano[16]

    图  5  极化干涉SAR原理与地物三维成像结果[17]

    Figure  5.  Principle of Pol-InSAR and three-dimensional imaging result

    图  6  圣地亚国家实验室的视频SAR成像结果[19]

    Figure  6.  Video SAR imaging results of Sandia national laboratories[19]

    图  7  不同频段地物SAR图像差异的直观理解

    Figure  7.  Intuitive understanding of the differences between the SAR images of the ground objects in different frequency bands

    图  8  孔径流形的演变

    Figure  8.  Evolution of the aperture manifold

    图  9  圆周SAR与条带SAR成像结果对比[23]

    Figure  9.  Comparison of imaging results of circular SAR and stripmap SAR[23]

    图  10  圆周SAR试验情况[24]

    Figure  10.  Experiment of circular SAR[24]

    图  11  复杂机动轨迹SAR的示意图

    Figure  11.  Schematic diagrams of complex maneuvering SAR

    图  12  多航过层析SAR

    Figure  12.  Multi-pass tomographic SAR

    图  13  单平台多通道SAR示意图

    Figure  13.  Diagrams of single platform multi-channel SAR

    图  14  立体分布地物的三维成像[38]

    Figure  14.  Three-dimensional imaging of stereo distributed ground objects[38]

    图  15  建筑群的三维成像[25]

    Figure  15.  Three-dimensional imaging of buildings

    图  16  多通道SAR演进图

    Figure  16.  Multi-channel SAR evolution map

    图  17  双多基地SAR系统形态

    Figure  17.  Morphology of Bistatic/Multistatic SAR

    图  18  单双基SAR图像明暗关系差异[47]

    Figure  18.  Difference in light-dark relationship between monostatic and bistatic SAR images[47]

    图  19  聚束式双基SAR试验[48]

    Figure  19.  Experiment of spotlight bistatic SAR[48]

    图  20  机载双基侧视SAR试验[49]

    Figure  20.  Experiment of airborne bistatic side-looking SAR[49]

    图  21  星机双基侧视SAR试验[50]

    Figure  21.  Experiment of spaceborne/airborne bistatic side-looking SAR[50]

    图  22  国内首幅机载双基侧视SAR图像[51]

    Figure  22.  The first airborne bistatic side-looking SAR image in China[51]

    图  23  外辐射源双基SAR试验[52]

    Figure  23.  Experiment of passive bistatic SAR[52]

    图  24  机载双基前视SAR图像[61]

    Figure  24.  Airborne bistatic forward-looking SAR image[61]

    图  25  星机双基地后视SAR试验[63]

    Figure  25.  Experiment of spaceborne/airborne bistatic backward-looking SAR[63]

    图  26  合成孔径原理的4种不同解释

    Figure  26.  Four different interpretations of synthetic aperture principle

    图  27  扫描波束锐化技术的交汇船只分辨试验[82]

    Figure  27.  Resolving ships experiment of scanning beam sharpening[82]

    图  28  扫描波束锐化技术的面目标成像试验[82]

    Figure  28.  Surface target imaging experiment of scanning beam sharpening[82]

    图  29  电磁涡旋成像的可行性验证[96]

    Figure  29.  Feasibility verification of electromagnetic vortex imaging[96]

    图  30  支撑成长识别能力的主要机制

    Figure  30.  The main mechanisms that support growth recognition

    图  31  雷达对地成像技术发展的外部因素

    Figure  31.  External influencing factors for the development of radar ground imaging technology

    图  32  雷达对地成像技术发展的内部因素

    Figure  32.  Internal influencing factors for the development of radar ground imaging technology

  • [1] 吴一戎, 朱敏慧. 合成孔径雷达技术的发展现状与趋势[J]. 遥感技术与应用, 2000, 15(2): 121–123. doi: 10.3969/j.issn.1004-0323.2000.02.012

    WU Yirong and ZHU Minhui. The developing status and trends of synthetic aperture radar[J]. Remote Sensing Technology and Application, 2000, 15(2): 121–123. doi: 10.3969/j.issn.1004-0323.2000.02.012
    [2] MOREIRA A, PRATS-IRAOLA P, YOUNIS M, KRIEGER G, HAJNSEK I, and PAPATHANASSIOU K P. A tutorial on synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(1): 6–43. doi: 10.1109/MGRS.2013.2248301
    [3] 魏钟铨. 合成孔径雷达卫星[M]. 北京: 科学出版社, 2001.

    WEI Zhongquan. Synthetic Aperture Radar Satellite[M]. Beijing: Science Press, 2001.
    [4] 杨建宇. 雷达技术发展规律和宏观趋势分析[J]. 雷达学报, 2012, 1(1): 19–27. doi: 10.3724/SP.J.1300.2012.20010

    YANG Jianyu. Development laws and macro trends analysis of radar technology[J]. Journal of Radars, 2012, 1(1): 19–27. doi: 10.3724/SP.J.1300.2012.20010
    [5] TURKAR V, DEO R, RAO Y S, MOHAN S, and DAS A. Classification accuracy of multi-frequency and multi-polarization SAR images for various land covers[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(3): 936–941. doi: 10.1109/JSTARS.2012.2192915
    [6] JIN Yaqiu and XU Feng. Polarimetric Scattering and SAR Information Retrieval[M]. Singapore: John Wiley & Sons Singapore Pte. Ltd., 2013.
    [7] 董庆, 郭华东, 王长林. 多波段多极化合成孔径雷达的海洋学应用[J]. 地球科学进展, 2001, 16(1): 93–97. doi: 10.3321/j.issn:1001-8166.2001.01.017

    DONG Qing, GUO Huadong, and WANG Changlin. Oceanographic survey of multi-band and multi-polarization synthetic aperture radar[J]. Advance in Earth Sciences, 2001, 16(1): 93–97. doi: 10.3321/j.issn:1001-8166.2001.01.017
    [8] 王雪松. 雷达极化技术研究现状与展望[J]. 雷达学报, 2016, 5(2): 119–131. doi: 10.12000/JR16039

    WANG Xuesong. Status and prospects of radar polarimetry techniques[J]. Journal of Radars, 2016, 5(2): 119–131. doi: 10.12000/JR16039
    [9] SUN Jili, YU Weidong, and DENG Yunkai. The SAR payload design and performance for the GF-3 mission[J]. Sensors, 2017, 17(10): 2419. doi: 10.3390/s17102419
    [10] 宋国栋, 李建新, 张金平, 高铁. 新型双极化波导缝隙天线研究[J]. 现代雷达, 2010, 32(12): 67–71. doi: 10.3969/j.issn.1004-7859.2010.12.015

    SONG Guodong, LI Jianxin, ZHANG Jinping, and GAO Tie. A study on the novel waveguide slotted antenna with dual-polarization[J]. Modern Radar, 2010, 32(12): 67–71. doi: 10.3969/j.issn.1004-7859.2010.12.015
    [11] WANG Yu, YU Weidong, and WANG Chunle. A hierarchical extension of a multiple-component scattering model with unitary transformation of the coherency matrix[J]. Remote Sensing Letters, 2019, 10(11): 1047–1056. doi: 10.1080/2150704X.2019.1646933
    [12] WANG Jili, YU Weidong, DENG Yunkai, WANG R, WANG Yingjie, ZHANG Heng, and ZHENG Mingjie. Demonstration of time-series InSAR processing in Beijing using a small stack of gaofen-3 differential interferograms[J]. Journal of Sensors, 2019, 2019: 4204580.
    [13] 王超, 张红, 刘智, 陈锁忠, 闾国年. 苏州地区地面沉降的星载合成孔径雷达差分干涉测量监测[J]. 自然科学进展, 2002, 12(6): 621–624. doi: 10.3321/j.issn:1002-008X.2002.06.012

    WANG Chao, ZHANG Hong, LIU Zhi, CHEN Suozhong, and LÜ Guonian. Differential interferometry and monitoring of ground subsidence by satellite-borne synthetic aperture radar in Suzhou[J]. Progress in Natural Science, 2002, 12(6): 621–624. doi: 10.3321/j.issn:1002-008X.2002.06.012
    [14] TENG Fei, HONG Wen, LIN Yun, HAN Bing, WANG Yanping, SHEN Wenjie, and FENG Shanshan. An anisotropic scattering analysis method based on likelihood ratio using circular Sar Data[C]. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Janpan, 2019: 477–480.
    [15] FERRETTI A, MONTI-GUARNIERI A, PRATI C, ROCCA F, and MASSONET D InSAR principles: Guidelines for SAR interferometry processing and interpretation[R]. ESA TM-19, 2007.
    [16] JONES H G and VAUGHAN R A. Remote Sensing of Vegetation: Principles, Techniques, and Applications[M]. Oxford: Oxford University Press, 2010.
    [17] PAPATHANASSIOU K P and CLOUDE S R. Single-baseline polarimetric SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(11): 2352–2363. doi: 10.1109/36.964971
    [18] DAMINI A, BALAJI B, PARRY C, and MANTLE V. A videoSAR mode for the x-band wideband experimental airborne radar[C]. The SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVⅡ, Orlando, USA, 2010: 76990E.
    [19] Sandia National Laboratories: Infrared-VideoSAR comparison[EB/OL]. https://www.sandia.gov/radar/video/index.html, 2019.
    [20] 胡睿智. 视频合成孔径雷达成像理论与关键技术研究[D]. [博士论文], 电子科技大学, 2018.

    HU Ruizhi. Research on imaging theory and key technology of video synthetic aperture radar[D]. [Ph.D. dissertation], University of Electronic Science and Technology of China, 2018.
    [21] ROSA R A S, FERNANDES D, NOGUEIRA J B, and WIMMER C. Automatic change detection in multitemporal X- and P-band SAR images using Gram-Schmidt process[C]. 2015 IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, 2015: 2797–2800.
    [22] 杨建宇. 双基合成孔径雷达[M]. 北京: 国防工业出版社, 2017.

    YANG Jianyu. Bistatic Synthetic Aperture Radar[M]. Beijing: National Defense Industry Press, 2017.
    [23] 洪文. 圆迹SAR成像技术研究进展[J]. 雷达学报, 2012, 1(2): 124–135. doi: 10.3724/SP.J.1300.2012.20046

    HONG Wen. Progress in circular SAR imaging technique[J]. Journal of Radars, 2012, 1(2): 124–135. doi: 10.3724/SP.J.1300.2012.20046
    [24] CHEN Leping, AN Daoxiang, and HUANG Xiaotao. A backprojection-based imaging for circular synthetic aperture radar[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(8): 3547–3555. doi: 10.1109/JSTARS.2017.2683497
    [25] 丁赤飚, 仇晓兰, 徐丰, 梁兴东, 焦泽坤, 张福博. 合成孔径雷达三维成像——从层析、阵列到微波视觉[J]. 雷达学报, 2019, 8(6): 693–709. doi: 10.12000/JR19090

    DING Chibiao, QIU Xiaolan, XU Feng, LIANG Xingdong, JIAO Zekun, and ZHANG Fubo. Synthetic aperture radar three-dimensional imaging——from TomoSAR and array InSAR to microwave vision[J]. Journal of Radars, 2019, 8(6): 693–709. doi: 10.12000/JR19090
    [26] 孙龙, 邬伯才, 沈明星, 江凯, 鲁加国. 机载UWB数字阵列SAR系统技术研究[J]. 雷达科学与技术, 2017, 15(2): 171–177, 184. doi: 10.3969/j.issn.1672-2337.2017.02.011

    SUN Long, WU Bocai, SHEN Mingxing, JIANG Kai, and LU Jiaguo. Research on UWB airborne digital array SAR technology[J]. Radar Science and Technology, 2017, 15(2): 171–177, 184. doi: 10.3969/j.issn.1672-2337.2017.02.011
    [27] 代大海, 邢世其, 王玺, 庞礡. 数字阵列合成孔径雷达[M]. 北京: 国防工业出版社, 2017.

    DAI Dahai, XING Shiqi, WANG Xi, and PANG Bo. Digital Array Synthetic Aperture Radar[M]. Beijing: National Defense Industry Press, 2017.
    [28] ZHANG Jiajia, SUN Guangcai, XING Mengdao, BAO Zheng, and FANG Zhou. An efficient signal reconstruction algorithm for stepped frequency MIMO-SAR in the spotlight and sliding spotlight modes[J]. International Journal of Antennas and Propagation, 2014, 2014: 329340.
    [29] 雷万明, 许道宝, 余慧, 刘颖. 距离向DBF-SAR自适应SCORE处理研究[J]. 现代雷达, 2019, 41(9): 37–40.

    LEI Wanming, XU Daobao, YU Hui, and LIU Ying. A study on adaptive SCORE processing for range DBF-SAR[J]. Modern Radar, 2019, 41(9): 37–40.
    [30] CERUTTI-MAORI D, KLARE J, BRENNER A R, and ENDER J H G. Wide-area traffic monitoring with the SAR/GMTI system PAMIR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(10): 3019–3030. doi: 10.1109/TGRS.2008.923026
    [31] WEIß M, PETERS O, and ENDER J. First flight trials with ARTINO[C]. The 7th European Conference on Synthetic Aperture Radar, Friedrichshafen, Germany, 2008: 187–190.
    [32] 雷万明, 赵敬亮. 大带宽高分辨力多通道SAR频谱重构[J]. 宇航学报, 2011, 32(10): 2210–2215. doi: 10.3873/j.issn.1000-1328.2011.10.018

    LEI Wanming and ZHAO Jingliang. Doppler signal reconstruction of multichannel wide bandwidth SAR with high resolution[J]. Journal of Astronautics, 2011, 32(10): 2210–2215. doi: 10.3873/j.issn.1000-1328.2011.10.018
    [33] WU Youming, YU Ze, XIAO Peng, and LI Chunsheng. Suppression of azimuth ambiguities in spaceborne SAR images using spectral selection and extrapolation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(10): 6134–6147.
    [34] 洪文, 王彦平, 林赟, 谭维贤, 吴一戎. 新体制SAR三维成像技术研究进展[J]. 雷达学报, 2018, 7(6): 633–654. doi: 10.12000/JR18109

    HONG Wen, WANG Yanping, LIN Yun, TAN Weixian, and WU Yirong. Research progress on three-dimensional SAR imaging technique[J]. Journal of Radars, 2018, 7(6): 633–654. doi: 10.12000/JR18109
    [35] MAHAFZA B R and SAJJADI M. Three-dimensional SAR imaging using linear array in transverse motion[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(1): 499–510. doi: 10.1109/7.481296
    [36] WEIB M and ENDER J H G. A 3D imaging radar for small unmanned airplanes - ARTINO[C]. The European Radar Conference, Paris, Frend, 2005: 209–212.
    [37] SHI Jun, PENG Zuoyong, REN Congyue, FAN Ling, and ZHANG Xiaoling. DEM estimation for LASAR based on variational model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2): 978–995. doi: 10.1109/TGRS.2016.2617402
    [38] SHI Jun, ZHANG Xiaoling, YANG Jianyu, et al. APC trajectory design for “One-Active” linear-array three-dimensional imaging SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3): 1470–1486. doi: 10.1109/TGRS.2009.2031430
    [39] SHI Jun, ZHANG Xiaoling, YANG Jianyu, and WANG Yinbo. Surface-tracing-based LASAR 3-D imaging method via Multiresolution approximation[J].IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3719–3730. doi: 10.1109/TGRS.2008.2001170
    [40] ZHANG Siqian, DONG Ganggang, and KUANG Gangyao. Matrix completion for downward-looking 3-D SAR imaging with a random sparse linear array[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 1994–2006. doi: 10.1109/TGRS.2017.2771826
    [41] ZHANG Siqian, ZHU Yutao, DONG Ganggang, and KUANG Gangyao. Truncated SVD-based compressive sensing for downward-looking three-dimensional SAR imaging with uniform/nonuniform linear array[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(9): 1853–1857. doi: 10.1109/LGRS.2015.2431254
    [42] ZHANG Siqian, DONG Ganggang, and KUANG Gangyao. Superresolution downward-looking linear array three-dimensional SAR imaging based on two-dimensional compressive sensing[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(6): 2184–2196. doi: 10.1109/JSTARS.2016.2549548
    [43] LI Hang, LIANG Xingdong, ZHANG Fubo, DING Chibiao, and Wu Yirong. A novel 3-D reconstruction approach based on group sparsity of array InSAR[J]. Scientia Sinica Informationis, 2018, 48(8): 1051–1064. doi: 10.1360/N112017-00023
    [44] 李杭, 梁兴东, 张福博, 吴一戎. 基于高斯混合聚类的阵列干涉SAR三维成像[J]. 雷达学报, 2017, 6(6): 630–639. doi: 10.12000/JR17020

    LI Hang, LIANG Xingdong, ZHANG Fubo, and WU Yirong. 3D imaging for array InSAR based on Gaussian mixture model clustering[J]. Journal of Radars, 2017, 6(6): 630–639. doi: 10.12000/JR17020
    [45] LOPEZ-DEKKER P, MALLORQUI J J, SERRA-MORALES P, and SANZ-MARCOS J. Phase synchronization and doppler centroid estimation in fixed receiver Bistatic SAR systems[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3459–3471. doi: 10.1109/TGRS.2008.923322
    [46] HE Zhihua, HE Feng, CHEN Junli, HUANG Haifeng, and LIANG Diannong. Phase synchronization processing method for alternating bistatic mode in distributed SAR[J]. Journal of Systems Engineering and Electronics, 2013, 24(3): 410–416. doi: 10.1109/JSEE.2013.00049
    [47] YOCKY D A, WAHL D E, and JAKOWATZ C V. Bistatic SAR: Imagery & image products[R]. SAND2014-18346, 2014.
    [48] YATES G, HOME A M, BLAKE A P, and MIDDLETON R. Bistatic SAR image formation[J]. IEE Proceedings - Radar,Sonar and Navigation, 2006, 153(3): 208–213. doi: 10.1049/ip-rsn:20045091
    [49] WALTERSCHEID I, ENDER J H G, BRENNER A R, and LOFFELD O. Bistatic SAR processing and experiments[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(10): 2710–2717. doi: 10.1109/TGRS.2006.881848
    [50] RODRIGUEZ-CASSOLA M, BAUMGARTNER S V, KRIEGER G, and MOREIRA A. Bistatic TerraSAR-X/F-SAR spaceborne-airborne SAR experiment: Description, data processing, and results[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 781–794. doi: 10.1109/TGRS.2009.2029984
    [51] XIAN Li, XIONG Jintao, HUANG Yulin, and YANG Jianyu. Research on airborne bistatic SAR squint imaging mode algorithm and experiment data processing[C]. The 2007 1st Asian and Pacific Conference on Synthetic Aperture Radar, Huangshan, China, 2007: 618–621.
    [52] ULANDER L M H, FRÖLIND P O, GUSTAVSSON A, RAGNARSSON R, and STENSTRÖM G. VHF/UHF bistatic and passive SAR ground imaging[C]. Proceedings of 2015 IEEE Radar Conference, Arlington, USA, 2015: 669–673.
    [53] WU Junjie, SUN Zhichao, LI Zhongyu, HUANG Yulin, YANG Jianyu, and LIU Zhe. Focusing translational variant Bistatic forward-looking SAR using keystone transform and extended nonlinear chirp scaling[J]. Remote Sensing, 2016, 8(10): 840. doi: 10.3390/rs8100840
    [54] PU Wei, WU Junjie, HUANG Yulin, LI Wenchao, SUN Zhichao, YANG Jianyu, and YANG Haiguang. Motion Errors and compensation for bistatic forward-looking SAR with cubic-order processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12): 6940–6957. doi: 10.1109/TGRS.2016.2592536
    [55] WALTERSCHEID I and PAPKE B. Bistatic forward-looking SAR imaging of a runway using a compact receiver on board an ultralight aircraft[C]. The 2013 14th International Radar Symposium, Dresden, Germany, 2013: 461–466.
    [56] HU Cheng, ZENG Tao, LONG Teng, and YANG Chun. Forward-looking bistatic SAR range migration alogrithm[C]. The 2006 CIE International Conference on Radar, Shanghai, China, 2006: 1–4.
    [57] WU Junjie, LI Zhongyu, HUANG Yulin, YANG Jianyu, YANG Haiguang, and LIU Qinghuo. Focusing bistatic forward-looking SAR with stationary transmitter based on keystone transform and nonlinear chirp scaling[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 148–152. doi: 10.1109/LGRS.2013.2250904
    [58] QIU Xiaolan, HU Donghui, and DING Chibiao. Some reflections on bistatic SAR of forward-looking configuration[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 735–739. doi: 10.1109/LGRS.2008.2004506
    [59] WU Junjie, YANG Jianyu, HUANG Yulin, YANG Haiguang, and WANG Haocheng. Bistatic forward-looking SAR: Theory and challenges[C]. The 2009 IEEE Radar Conference, Pasadena, USA, 2009: 1–4.
    [60] LI Wenchao, YANG Jianyu, HUANG Yulin, and WU Junjie. A geometry-based doppler centroid estimator for bistatic forward-looking SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(3): 388–392. doi: 10.1109/LGRS.2011.2170151
    [61] YANG Jianyu, HUANG Yulin, YANG Haiguang, WU Junjie, LI Wenchao, LI Zhongyu, and YANG Xiaobo. A first experiment of airborne bistatic forward-looking SAR - Preliminary results[C]. 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013: 4202–4204.
    [62] PU Wei, WU Junjie, HUANG Yulin, DU Ke, LI Wenchao, YANG Jianyu, and YANG Haiguang. A rise-dimensional modeling and estimation method for flight trajectory error in Bistatic forward-looking SAR[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(11): 5001–5015.
    [63] ESPETER T, WALTERSCHEID I, KLARE J, BRENNER A R, and ENDER J H G. Bistatic forward-looking SAR: Results of a spaceborne-airborne experiment[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 765–768. doi: 10.1109/LGRS.2011.2108635
    [64] MCCORKLE. Focusing of synthetic aperture ultra wideband data[C]. IEEE 1991 International Conference on Systems Engineering, Dayton, USA, 1991: 1–5.
    [65] 刘吉英. 压缩感知理论及在成像中的应用[D]. [博士论文], 国防科学技术大学, 2010.

    LIU Jiying. Theory of compressed sensing and its application in imaging[D]. [Ph.D. dissertation], National University of Defense Technology, 2010.
    [66] BARANIUK R and STEEGHS P. Compressive radar imaging[C]. 2007 IEEE Radar Conference, Boston, USA, 2007: 128–133.
    [67] 吴一戎, 洪文, 张冰尘. 稀疏微波成像导论[M]. 北京: 科学出版社, 2018.

    WU Yirong, HONG Wen, and ZHANG Bingchen. Introduction to Sparse Microwave Imaging[M]. Beijing: Science Press, 2018.
    [68] ZHANG Bingchen, HONG Wen, and WU Yirong. Sparse microwave imaging: Principles and applications[J]. Science China Information Sciences, 2012, 55(8): 1722–1754. doi: 10.1007/s11432-012-4633-4
    [69] BECK A and TEBOULLE M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems[J]. SIAM Journal on Imaging Sciences, 2009, 2(1): 183–202. doi: 10.1137/080716542
    [70] KAMILOV U S, RANGAN S, FLETCHER A K, and UNSER M. Approximate message passing with consistent parameter estimation and applications to sparse learning[J]. IEEE Transactions on Information Theory, 2014, 60(5): 2969–2985. doi: 10.1109/TIT.2014.2309005
    [71] 吴一戎, 洪文, 张冰尘, 蒋成龙, 张柘, 赵曜. 稀疏微波成像研究进展(科普类)[J]. 雷达学报, 2014, 3(4): 383–396. doi: 10.3724/SP.J.1300.2014.14105

    WU Yirong, HONG Wen, ZHANG Bingchen, JIANG Chenglong, ZHANG Zhe, and ZHAO Yao. Current developments of sparse microwave imaging[J]. Journal of Radars, 2014, 3(4): 383–396. doi: 10.3724/SP.J.1300.2014.14105
    [72] 杨东. 星载稀疏成像及动目标检测处理方法研究[D]. [博士论文], 西安电子科技大学, 2015.

    YANG Dong. Sparse signal processing techniques of spaceborne SAR imaging and moving target detection[D]. [Ph.D. dissertation], Xidian University, 2015.
    [73] ZHU Xiaoxiang and BAMLER R. Demonstration of super-resolution for tomographic SAR imaging in urban environment[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(8): 3150–3157. doi: 10.1109/TGRS.2011.2177843
    [74] 韦顺军. 线阵三维合成孔径雷达稀疏成像技术研究[D]. [博士论文], 电子科技大学, 2013.

    WEI Shunjun. Research on linear array three-dimensional synthetic apertureradar sparse imaging technology[D]. [Ph.D. dissertation], University of Electronic Science and Technology of China, 2013.
    [75] 张磊. 高分辨SAR/ISAR成像及误差补偿技术研究[D]. [博士论文], 西安电子科技大学, 2012.

    ZHANG Lei. Study on high resolution SAR/ISAR imaging and error correction[D]. [Ph.D. dissertation], Xidian University, 2012.
    [76] ZHU Daiyin, LI Yong, YU Xiang, ZHANG Wei, and ZHU Zhaoda. Compressed ISAR autofocusing: Experimental results[C]. 2012 IEEE Radar Conference, Atlanta, USA, 2012: 425–430.
    [77] DAVIDSON G W, CUMMING I G, and ITO M R. A chirp scaling approach for processing squint mode SAR data[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(1): 121–133. doi: 10.1109/7.481254
    [78] SUN Guangcai, JIANG Xiuwei, XING Mengdao, QIAO Zhijun, WU Yirong, and BAO Zheng. Focus improvement of highly squinted data based on azimuth nonlinear scaling[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(6): 2308–2322. doi: 10.1109/TGRS.2010.2102040
    [79] AN Daoxiang, HUANG Xiaotao, JIN Tian, and ZHOU Zhimin. Extended nonlinear chirp scaling algorithm for high-resolution highly squint SAR data focusing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(9): 3595–3609. doi: 10.1109/TGRS.2012.2183606
    [80] 毛士艺, 李少洪, 黄永红, 陈远知. 机载PD雷达DBS实时成像研究[J]. 电子学报, 2000, 28(3): 32–34. doi: 10.3321/j.issn:0372-2112.2000.03.009

    MAO Shiyi, LI Shaohong, HUANG Yonghong, and CHEN Yuanzhi. Study of real-time image by DBS on airborne PD radar[J]. Acta Electronica Sinica, 2000, 28(3): 32–34. doi: 10.3321/j.issn:0372-2112.2000.03.009
    [81] CUMMING I G and WONG F H. Digital Processing of Synthetic Aperture Radar Data[M]. Boston: Artech House, 2005.
    [82] ZHANG Yongchao, ZHANG Yin, LI Wenchao, HUANG Yulin, and YANG Jianyu. Super-resolution surface mapping for scanning radar: Inverse filtering based on the fast iterative adaptive approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1): 127–144. doi: 10.1109/TGRS.2017.2743263
    [83] 徐浩. 基于空间谱理论和时空两维随机辐射场的雷达成像研究[D]. [博士论文], 中国科学技术大学, 2011.

    XU Hao. The radar imaging based on space spectrum and temporal-spatial stochastic radiation field[D]. [Ph.D. dissertation], University of Science and Technology of China, 2011.
    [84] 何学智. 微波凝视关联成像的信息处理方法与仿真[D]. [博士论文], 中国科学技术大学, 2013.

    HE Xuezhi. The information processing methods and simulations in microwave staring correlated imaging[D]. [Ph.D. dissertation], University of Science and Technology of China, 2013.
    [85] 丁义元, 杨建宇, 张卫华, 黄顺吉. 改进实孔径雷达角分辨力的广义逆滤波方法[J]. 电子学报, 1993, 21(9): 15–19. doi: 10.3321/j.issn:0372-2112.1993.09.003

    DING Yiyuan, YANG Jianyu, ZHANG Weihua, and HUANG Shunji. Improvement of angular resolution of real aperture radar via generalized inverse filtering[J]. Acta Electronica Sinica, 1993, 21(9): 15–19. doi: 10.3321/j.issn:0372-2112.1993.09.003
    [86] ZHANG Yongchao, LI Wenchao, ZHANG Yin, HUANG Yulin, and YANG Jianyu. A fast iterative adaptive approach for scanning radar angular superresolution[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(11): 5336–5345.
    [87] YIN Zhang, ZHANG Qiping, LI Changlin, ZHANG Yongchao, HUANG Yulin, and YANG Jianyu. Sea-surface target angular superresolution in forward-looking radar imaging based on maximum a posteriori algorithm[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(8): 2822–2834. doi: 10.1109/JSTARS.2019.2918189
    [88] MAO Deqing, ZHANG Yin, ZHANG Yongchao, HUANG Yulin, and YANG Jianyu. Realization of airborne forward-looking radar super-resolution algorithm based on GPU frame[C]. The 2016 CIE International Conference on Radar, Guangzhou, China, 2016: 1–5.
    [89] LAVERY M P J, SPEIRITS F C, BARNETT S M, and PADGETT M J. Detection of a spinning object using light’s orbital angular momentum[J]. Science, 2013, 341(6145): 537–540. doi: 10.1126/science.1239936
    [90] TAMAGNONE M, CRAEYE C, and PERRUISSEAU-CARRIER J. Comment on ‘Encoding many channels on the same frequency through radio vorticity: First experimental test’[J]. New Journal of Physics, 2012, 14(3): 118001.
    [91] THIDÉ B, THEN H, SJÖHOLM J, PALMER K, BERGMAN J, CAROZZI T D, ISTOMIN Y N, IBRAGIMOV N H, and KHAMITOVA R. Utilization of photon orbital angular momentum in the low-frequency radio domain[J]. Physical Review Letters, 2007, 99(8): 087701. doi: 10.1103/PhysRevLett.99.087701
    [92] LIU Kang, CHENG Yongqiang, YANG Zhaocheng, WANG Hongqiang, QIN Yuliang, and LI Xiang. Orbital-angular-momentum-based electromagnetic vortex imaging[J]. IEEE Antennas and Wireless Propagation Letters, 2015, 14: 711–714. doi: 10.1109/LAWP.2014.2376970
    [93] LIU Kang, LIU Hongyan, QIN Yuliang, CHENG Yongqiang, WANG Shunan, LI Xiang, and WANG Hongqiang. Generation of OAM beams using phased array in the microwave band[J]. IEEE Transactions on Antennas and Propagation, 2016, 64(9): 3850–3857. doi: 10.1109/TAP.2016.2589960
    [94] YUAN Tiezhu, CHENG Yongqiang, WANG Hongqiang, and QIN Yuliang. Mode characteristics of vortical radio wave generated by circular phased array: Theoretical and experimental results[J]. IEEE Transactions on Antennas and Propagation, 2017, 65(2): 688–695. doi: 10.1109/TAP.2016.2635620
    [95] 刘红彦. 面向雷达成像的涡旋电磁波产生方法研究[D]. [硕士论文], 国防科学技术大学, 2016.

    LIU Hongyan. Research on the generation of vortex electromagnetic waves for radar imaging[D]. [Master dissertation], National University of Defense Technology, 2016.
    [96] LIU Kang, CHENG Yongqiang, GAO Yue, LI Xiang, QIN Yuliang, and WANG Hongqiang. Super-resolution radar imaging based on experimental OAM beams[J]. Applied Physics Letters, 2017, 110(16): 164102. doi: 10.1063/1.4981253
    [97] 袁铁柱. 涡旋电磁波在雷达成像中的应用研究[D]. [博士论文], 国防科学技术大学, 2017.

    YUAN Tiezhu. Research on radar imaging using electromagnetic vortex wave[D]. [Ph.D. dissertation], National University of Defense Technology, 2017.
    [98] HUANG Yulin, PEI Jifang, YANG Jianyu, WANG Bing, and LIU Xian. Neighborhood geometric center scaling embedding for SAR ATR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 180–192. doi: 10.1109/TAES.2013.110769
    [99] WANG Bing, HUANG Yulin, YANG Jianyu, and WU Junjie. A feature extraction method for Synthetic Aperture Radar (SAR) automatic target recognition based on maximum interclass distance[J].Science China Technological Sciences, 2011, 54(9): 2520. doi: 10.1007/s11431-011-4430-0
    [100] DANG Sihang, CAO Zongjie, CUI Zongyong, PI Yiming, and LIU Nengyuan. Open set incremental learning for automatic target recognition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(7): 4445–4456. doi: 10.1109/TGRS.2019.2891266
    [101] PEI Jifang, HUANG Yulin, SUN Zhichao, YANG Jianyu, and YEO Tatsoon. Multiview synthetic aperture radar automatic target recognition optimization: Modeling and implementation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(11): 6425–6439. doi: 10.1109/TGRS.2018.2838593
    [102] PEI Jifang, HUANG Yulin, HUO Weibo, ZHANG Yin, YANG Jianyu, and YEO Tatsoon. SAR automatic target recognition based on multiview deep learning framework[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 2196–2210. doi: 10.1109/TGRS.2017.2776357
    [103] CUI Zongyong, QUAN Hongbin, CAO Zongjie, XU Shengping, DING Chunmei, and WU Junjie. SAR target CFAR detection via GPU parallel operation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(12): 4884–4894. doi: 10.1109/JSTARS.2018.2879082
    [104] HUO Weibo, HUANG Yulin, PEI Jifang, LIU Xiaojia, and YANG Jianyu. Virtual SAR target image generation and similarity[C]. The 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016: 914–917.
    [105] HUO Weibo, HUANG Yulin, PEI Jifang, ZHANG Yin, and YANG Jianyu. A new SAR image simulation method for sea-ship scene[C]. 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018: 721–724.
    [106] ZHU Jiehao, ZHOU Jianjiang, and XIA Weijie. High resolution radar cross section imaging based on complex target backscattering simulation[C]. The 2008 8th International Symposium on Antennas, Propagation and EM Theory, Kunming, China, 2008: 577–580.
  • 加载中
图(32)
计量
  • 文章访问数:  6727
  • HTML全文浏览量:  2227
  • PDF下载量:  847
  • 被引次数: 0
出版历程
  • 收稿日期:  2019-11-19
  • 修回日期:  2019-12-20
  • 网络出版日期:  2019-12-01

目录

    /

    返回文章
    返回