用于线阵三维SAR成像的二维快速ESPRIT算法

赵逸超 朱宇涛 粟毅 杨猛

赵逸超, 朱宇涛, 粟毅, 杨猛. 用于线阵三维SAR成像的二维快速ESPRIT算法[J]. 雷达学报, 2015, 4(5): 591-599. doi: 10.12000/JR15065
引用本文: 赵逸超, 朱宇涛, 粟毅, 杨猛. 用于线阵三维SAR成像的二维快速ESPRIT算法[J]. 雷达学报, 2015, 4(5): 591-599. doi: 10.12000/JR15065
Zhao Yi-chao, Zhu Yu-tao, Su Yi, Yang Meng. Two-dimensional Fast ESPRIT Algorithm for Linear Array SAR Imaging[J]. Journal of Radars, 2015, 4(5): 591-599. doi: 10.12000/JR15065
Citation: Zhao Yi-chao, Zhu Yu-tao, Su Yi, Yang Meng. Two-dimensional Fast ESPRIT Algorithm for Linear Array SAR Imaging[J]. Journal of Radars, 2015, 4(5): 591-599. doi: 10.12000/JR15065

用于线阵三维SAR成像的二维快速ESPRIT算法

doi: 10.12000/JR15065
基金项目: 

中国博士后科学基金(2014M562647)

详细信息
    作者简介:

    赵逸超(1990-),男,陕西汉中人。2013年在浙江大学获得学士学位。现为国防科技大学硕士研究生,研究方向为线阵三维SAR超分辨成像技术。E-mail:zhaoyichao1212@163.com朱宇涛,男,现为国防科技大学博士后,主要研究方向为阵列设计、遥感信息处理。E-mail:zhu_yu_tao@126.com粟毅,男,现为国防科技大学教授,博士生导师,主要研究方向为信号处理、雷达系统、遥感信息处理。E-mail:yi.su@yeah.net

    通讯作者:

    赵逸超zhaoyichao1212@163.com

Two-dimensional Fast ESPRIT Algorithm for Linear Array SAR Imaging

Funds: 

China Postdoctoral Science Foundation (2014M562647)

  • 摘要: 线阵3维SAR系统可实现对地面场景的3维成像,是近年来研究的热点。但受载机平台和硬件条件的限制,其切航迹向和沿航迹向的分辨率难以提高。为了改善2维分辨率,该文提出了一种用于线阵3维SAR成像的2维快速ESPRIT算法,首先结合盖式圆方法和ESPRIT算法估计出点目标在切航迹向和沿航迹向位置,并通过该文改进的基于区域生长的2维位置配对方法替代最小二乘法快速求得目标散射系数,实现线阵2维SAR切航迹向和沿航迹向超分辨成像。该算法具有分辨精度高、运算速度快、实时性能好等优点。仿真实验证明了其有效性。

     

  • [1] 王斌, 王彦平, 洪文, 等. 线阵SAR三维成像分辨率分析[J]. 计算机仿真, 2011, 28(3): 282-286. Wang Bin, Wang Yan-ping, Hong Wen, et al.. Analysis of resolution for SAR 3D imaging using linear array antennas[J]. Computer Simulation, 2011, 28(3): 282-286.
    [2] 成晨. 三维合成孔径雷达超分辨成像方法研究[D]. [硕士论文], 电子科技大学, 2012. Cheng Chen. 3D SAR superresolution imaging algorithms[D]. [Master dissertation], University of Electronic Science and Technology of China, 2012.
    [3] Colin Haley. Talk about ESPRIT[J]. Electronic and Power, 1986, 32(5): 377-380.
    [4] Zhang Ping, Li Zhen, and Chen Quan. 2D UESPRIT superresolution SAR imaging algorithm[C]. Geoscience and Remote Sensing Symposium, Honolulu, 2010: 4067-4070.
    [5] 冯德军, 王雪松, 陈志杰, 等. 酉ESPRIT超分辨ISAR成像方法[J]. 电子学报, 2005, 33(12): 2097-2100. Feng De-jun, Wang Xue-song, Chen Zhi-jie, et al.. Super-resolution ISAR imaging using unitary ESPRIT[J]. Acta Electronica Sinica, 2005, 33(12): 2097-2100.
    [6] 焦芸, 田野, 宿富林. 基于一种二维ESPRIT算法的ISAR超分辨成像[J]. 哈尔滨师范大学自然科学学报, 2005, 21(4): 35-38. Jiao Yun, Tian Ye, and Su Fu-lin. ISAR super-resolution imaging based on a 2-D ESPRIT algorithm[J]. Natural Science Journal of Harbin Normal University, 2015, 21(4): 35-38.
    [7] 张平, 商建, 杨汝良. 一种有效的二维MUSIC超分辨SAR成像算法[J]. 系统仿真学报, 2010, 22(1): 184-187. Zhang Ping, Shang Jian, and Yang Ru-liang. Efficient 2D MUSIC superresolution SAR imaging method[J]. Journal of System Simulation, 2010, 22(1): 184-187.
    [8] 张小飞, 汪飞, 徐大专. 阵列信号处理的理论和应用[M]. 北京: 国防工业出版社, 2010: 31-33. Zhang Xiao-fei, Wang Fei, and Xu Da-zhuan. The Theory and Application of Array Signal Processing[M]. Beijing: National Defense Industry Press, 2010: 31-33.
    [9] 朱宇涛. 多通道ISAR成像技术研究[D]. [博士论文], 国防科学技术大学, 2011. Zhu Yu-tao. Multiple-channel ISAR imaging[D]. [Ph.D. dissertation], National University of Defense Technology, 2011.
    [10] 于春艳, 谢亚楠, 赵海兰, 等. 基于新型阵列配置的机载MIMO-SAR下视三维成像性能研究[J]. 电子测量技术, 2014, 37(2): 64-69. Yu Chun-yan, Xie Ya-nan, Zhao Hai-lan, et al.. Airborne downward-looking MIMO 3D-SAR imaging properties based on the new array configuration[J]. Electronic Measurement Technology, 2014, 37(2): 64-69.
    [11] Wang Wei, Wu Wei-hua, Su Wu-ge, et al.. High squint mode SAR imaging using modified RD algorithm[C]. 2013 IEEE China Summit International Conference on Signal and Information Processing (ChinaSIP), Beijing, 2013: 589-592.
    [12] Hu An-zhong, Lv Tie-jun, Gao Hui, et al.. An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 996-1011.
    [13] Li Jian-feng and Zhang Xiao-fei. Unitary reduced-dimensional estimation of signal parameters via rotational invariance techniques for angle estimation in monostatic multiple-input-multiple-output radar with rectangular arrays[J]. IET Radar, Sonar and Navigation, 2013, 8(6): 575-584.
    [14] Ahmed A, Khan M F, and Tufail M. Multiple Invariance Cumulant ESPRIT for DOA Estimation[C]. 2014 International Conference on Robotics and Emerging Allied Technologies Engineering, Pakistan, 2014: 157-159.
    [15] Fayad Y, Wang Cai-yun, Hafez A E D S, et al.. Direction of arrival estimation using novel ESPRIT method for localization and tracking radar systems[C]. Proceedings of 2014 11th International Bhurban Conference on Applied Sciences Technology (IBCAST), Islamabad, Pakistan, 2014: 396-398.
    [16] 张东浩. 线阵三维SAR成像算法研究及仿真[D]. [硕士论文], 电子科技大学, 2010. Zhang Dong-hao. Analysis and simulation of LASAR imaging[D]. [Master dissertation], University of Electronic Science and Technology of China, 2010.
    [17] Qu Le-le, Sun Qiang, Yang Tian-hong, et al.. Time-delay estimation for ground penetrating radar using ESPRIT with improved spatial smoothing technique[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 11(8): 1315-1319.
    [18] Puneet Jain. An adaptive single seed based region growing algorithm for color image segmentation[C]. India Conference (INDICON), Mumbai, 2013: 1-6.
  • 加载中
计量
  • 文章访问数:  3558
  • HTML全文浏览量:  399
  • PDF下载量:  977
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-05-27
  • 修回日期:  2015-09-22
  • 网络出版日期:  2015-10-28

目录

    /

    返回文章
    返回