Volume 7 Issue 6
Feb.  2019
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2018  >  7(6): 730-739
Liu Qiyong, Zhang Qun, Hong Wen, Su Linghua, Liang Jia. DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation[J]. Journal of Radars, 2018, 7(6): 730-739. doi: 10.12000/JR18107
Citation: Liu Qiyong, Zhang Qun, Hong Wen, Su Linghua, Liang Jia. DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation[J]. Journal of Radars, 2018, 7(6): 730-739. doi: 10.12000/JR18107
shu

DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation

doi: 10.12000/JR18107
  • ①.

    Air Force Engineering University Graduate College, Xi’an 710077, China

  • ②.

    College of Information and Navigation, Air Force Engineering University, Xi’an 710077, China

  • ③.

    Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710077, China

  • ④.

    The Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai 200433, China

  • ⑤.

    National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China

  • ⑥.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

Funds:  The National Natural Science Foundation of China (61471386, 61871396), The Natural Science Foundation Research Program of Shaanxi Province (2016JM4008)
  • Received Date: 2018-12-03
  • Rev Recd Date: 2018-12-27
  • Publish Date: 2018-12-28
    Abstract
  • In the presence of yaw angular velocity, a body will deviate from its ideal flight path, which will affect imaging of Downward-Looking Sparse Linear Array 3D Synthetic Aperture Radar (DLSLA 3D SAR). In this paper, an imaging model including yaw rate is established. Furthermore, Doppler frequency modulation, which is related to cross-track coordinates and not azimuth coordinates, was theoretically calculated. Thus, a cross-track signal could be reconstructed to obtain the cross-track coordinates before azimuth signal compression. Based on the parametric sparse representation, the velocity and yaw rate of the platform were estimated, and the azimuth signal was compressed. Moreover, a deformation correction method is proposed to correct image deformation. The simulation results demonstrate the validity of the proposed method.

     

    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    Budillon A, Evangelista A, and Schirinzi G. Three-dimensional SAR focusing from multipass signals using compressive sampling[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1): 488–499. DOI: 10.1109/TGRS.2010.2054099
    [2]
    Zhu X X and Bamler R. Very high resolution spaceborne SAR tomography in urban environment[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(12): 4296–4308. DOI: 10.1109/TGRS.2010.2050487
    [3]
    Peng X M, Tan W X, Hong W, et al. Airborne DLSLA 3-D SAR image reconstruction by combination of polar formatting and L1 regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 213–226. DOI: 10.1109/TGRS.2015.2453202
    [4]
    徐宗本, 吴一戎, 张冰尘, 等. 基于L1/2正则化理论的稀疏雷达成像[J]. 科学通报, 2018, 63(14): 1306–1319. DOI: 10.1360/N972018-00372

    Xu Zong-ben, Wu Yi-rong, Zhang Bing-chen, et al. Sparse radar imaging based on L1/2 regularization theory[J]. Chinese Science Bulletin, 2018, 63(14): 1306–1319. DOI: 10.1360/N972018-00372
    [5]
    毕辉, 张冰尘, 洪文. 基于RIPless理论的层析SAR成像航迹分布优化方法[J]. 航空学报, 2016, 37(2): 680–687. DOI: 10.7527/S1000-6893.2015.0131

    Bi Hui, Zhang Bingchen, and Hong Wen. Track distribution optimization method based on TomoSAR via RIPless theory[J]. Acta Aeronautica et Astronautica Sinica, 2016, 37(2): 680–687. DOI: 10.7527/S1000-6893.2015.0131
    [6]
    侯丽英, 林赟, 洪文. 干涉圆迹SAR的目标三维重建方法研究[J]. 雷达学报, 2016, 5(5): 538–547. DOI: 10.12000/JR16009

    Hou Li-ying, Lin Yun, and Hong Wen. Three-dimensional reconstruction method study based on interferometric circular SAR[J]. Journal of Radars, 2016, 5(5): 538–547. DOI: 10.12000/JR16009
    [7]
    李烈辰, 李道京, 张清娟. 基于压缩感知的三孔径毫米波合成孔径雷达侧视三维成像[J]. 电子与信息学报, 2013, 35(3): 552–558. DOI: 10.3724/SP.J.1146.2012.01016

    Li Lie-chen, Li Dao-jing, and Zhang Qing-juan. Three-aperture millimeter-wave SAR side-looking three-dimensional imaging based on compressed sensing[J]. Journal of Electronics&Information Technology, 2013, 35(3): 552–558. DOI: 10.3724/SP.J.1146.2012.01016
    [8]
    张清娟, 李道京, 李烈辰. 连续场景的稀疏阵列SAR侧视三维成像研究[J]. 电子与信息学报, 2013, 35(5): 1097–1102. DOI: 10.3724/SP.J.1146.2012.01136

    Zhang Qing-juan, Li Dao-jing, and Li Lie-chen. Research on continuous scene side-looking 3D imaging based on sparse array[J]. Journal of Electronics&Information Technology, 2013, 35(5): 1097–1102. DOI: 10.3724/SP.J.1146.2012.01136
    [9]
    田鹤, 李道京, 潘洁, 等. 基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理[J]. 电子与信息学报, 2017, 39(9): 2203–2211. DOI: 10.11999/JEIT161209

    Tian He, Li Dao-jing, Pan Jie, et al. Downward-looking 3D imaging processing of sparse array SAR based on modified uniformly redundant arrays positive and negative coding[J]. Journal of Electronics&Information Technology, 2017, 39(9): 2203–2211. DOI: 10.11999/JEIT161209
    [10]
    李道京, 侯颖妮, 滕秀敏, 等. 稀疏阵列天线雷达技术及其应用[M]. 北京: 科学出版社, 2014.

    Li Dao-jing, Hou Ying-ni, Teng Xiu-min, et al.. Sparse Array Antenna Radar Imaging Technology and Application[M]. Beijing: Science Press, 2014.
    [11]
    Bao Q, Han K Y, Peng X M, et al. DLSLA 3-D SAR imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization[J]. Science China Information Sciences, 2016, 59(6): 062310. DOI: 10.1007/s11432-015-5477-5
    [12]
    Liu Q Y, Zhang Q, Luo Y, et al. Fast algorithm for sparse signal reconstruction based on off-grid model[J]. IET Radar,Sonar&Navigation, 2018, 12(4): 390–397. DOI: 10.1049/iet-rsn.2017.0319
    [13]
    丁振宇, 谭维贤, 王彦平, 等. 基于波数域子孔径的机载三维SAR偏航角运动误差补偿[J]. 雷达学报, 2015, 4(4): 467–473. DOI: 10.12000/JR15016

    Ding Zhen-yu, Tan Wei-xian, Wang Yan-ping, et al. Yaw angle error compensation for airborne 3-D SAR based on wavenumber-domain subblock[J]. Journal of Radars, 2015, 4(4): 467–473. DOI: 10.12000/JR15016
    [14]
    杨泽民, 孙光才, 邢孟道, 等. 基于多通道联合自聚焦技术的机载三维SAR运动补偿[J]. 电子与信息学报, 2012, 34(7): 1581–1588. DOI: 10.3724/SP.J.1146.2011.01365

    Yang Ze-min, Sun Guang-cai, Xing Meng-dao, et al. Motion compensation for airborne 3-D SAR based on joint multi-channel auto-focusing technology[J]. Journal of Electronics&Information Technology, 2012, 34(7): 1581–1588. DOI: 10.3724/SP.J.1146.2011.01365
    [15]
    Chen Y C, Li G, Zhang Q, et al. Motion compensation for airborne SAR via parametric sparse representation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(1): 551–562. DOI: 10.1109/TGRS.2016.2611522
    [16]
    刘云龙, 李焱磊, 周良将, 等. 一种机载SAR快速几何精校正算法[J]. 雷达学报, 2016, 5(4): 419–424. DOI: 10.12000/JR16064

    Liu Yun-long, Li Yan-lei, Zhou Liang-jiang, et al. A fast precise geometric calibration method for airborne SAR[J]. Journal of Radars, 2016, 5(4): 419–424. DOI: 10.12000/JR16064
    [17]
    王力宝, 许稼, 皇甫堪, 等. MIMO-SAR等效相位中心误差分析与补偿[J]. 电子学报, 2009, 37(12): 2688–2693. DOI: 10.3321/j.issn:0372-2112.2009.12.015

    Wang Li-bao, Xu Jia, Huangfu Kan, et al. Analysis and compensation of equivalent phase center error in MIMO-SAR[J]. Acta Electronica Sinica, 2009, 37(12): 2688–2693. DOI: 10.3321/j.issn:0372-2112.2009.12.015
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(3126) PDF downloads(169) Cited by()
    Proportional views
    Related

    京ICP备20021838号-8   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return