Volume 9 Issue 4
Aug.  2020
Turn off MathJax
Article Contents
ZHENG Tong, JIANG Libing, and WANG Zhuang. Three-dimensional multiple-input multiple-output radar imaging method based on integration of multi-snapshot images[J]. Journal of Radars, 2020, 9(4): 739–752. doi: 10.12000/JR19069
Citation: ZHENG Tong, JIANG Libing, and WANG Zhuang. Three-dimensional multiple-input multiple-output radar imaging method based on integration of multi-snapshot images[J]. Journal of Radars, 2020, 9(4): 739–752. doi: 10.12000/JR19069

Three-dimensional Multiple-Input Multiple-Output Radar Imaging Method Based on Integration of Multi-snapshot Images

doi: 10.12000/JR19069
Funds:  The National Ministries Foundation, The Key Laboratory Foundation of National Defense Science and Technology (6142503180202)
More Information
  • Corresponding author: WANG Zhuang, zhuang_wang@sina.com
  • Received Date: 2019-07-16
  • Rev Recd Date: 2019-09-26
  • Available Online: 2019-10-16
  • Publish Date: 2020-08-28
  • To improve the cross-range resolution of three-dimensional (3-D) images obtained along the direction of movement by Multiple-Input Mmultiple-Output (MIMO) radar, a novel MIMO-ISAR 3-D imaging method that combines multi-snapshot images is proposed. This method integrates multiple single-snapshot 3-D images acquired by a planar antenna array during a specific period of observation and extracts the peak slice along the linear fitting direction of the scatterers to construct a new 3-D image. The simulation results demonstrated that the proposed method significantly improves the cross-range resolution of the imaging results along the direction of movement compared with other methods based on single-snapshot 3-D images. Additionally, compared with the classical MIMO-ISAR method based on rearrangement and interpolation, this method is suitable for both fast-moving and slow-moving targets. Moreover, the imaging results are well focused and the side lobes along the direction of movement are effectively suppressed.

     

  • loading
  • [1]
    DING Shanshan, TONG Ningning, ZHANG Yongshun, et al. Super-resolution 3D imaging in MIMO radar using spectrum estimation theory[J]. IET Radar, Sonar & Navigation, 2017, 11(2): 304–312. doi: 10.1049/iet-rsn.2016.0233
    [2]
    DUAN Guangqing, WANG Dangwei, MA Xiaoyan, et al. Three-dimensional imaging via wideband MIMO radar system[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(3): 445–449. doi: 10.1109/LGRS.2009.2038728
    [3]
    ZHAO Jia, ZHANG Min, WANG Xin, et al. Three-dimensional super resolution ISAR imaging based on 2D unitary ESPRIT scattering centre extraction technique[J]. IET Radar, Sonar & Navigation, 2017, 11(1): 98–106. doi: 10.1049/iet-rsn.2016.0049
    [4]
    周子铂, 蒋李兵, 王壮. 一种基于波程差补偿的InISAR图像配准方法[J]. 雷达学报, 2018, 7(6): 758–769. doi: 10.12000/JR18070

    ZHOU Zibo, JIANG Libing, and WANG Zhuang. Image registration based on wave path difference compensation for InISAR[J]. Journal of Radars, 2018, 7(6): 758–769. doi: 10.12000/JR18070
    [5]
    BLEH D, RÖSCH M, KURI M, et al. W-band time-domain multiplexing FMCW MIMO radar for far-field 3-D imaging[J]. IEEE Transactions on Microwave Theory and Techniques, 2017, 65(9): 3474–3484. doi: 10.1109/TMTT.2017.2661742
    [6]
    MARKS D L, YURDUSEVEN O, and SMITH D R. Fourier accelerated multistatic imaging: A fast reconstruction algorithm for multiple-input-multiple-output radar imaging[J]. IEEE Access, 2017, 5: 1796–1809. doi: 10.1109/ACCESS.2017.2661068
    [7]
    CHENG Binbin, CUI Zhenmao, LU Bin, et al. 340-GHz 3-D imaging radar with 4Tx-16Rx MIMO array[J]. IEEE Transactions on Terahertz Science and Technology, 2018, 8(5): 509–519. doi: 10.1109/TTHZ.2018.2853551
    [8]
    高敬坤, 邓彬, 秦玉亮, 等. 扫描MIMO阵列近场三维成像技术[J]. 雷达学报, 2018, 7(6): 676–684. doi: 10.12000/JR18102

    GAO Jingkun, DENG Bin, QIN Yuliang, et al. Near-field 3D SAR imaging techniques using a scanning MIMO array[J]. Journal of Radars, 2018, 7(6): 676–684. doi: 10.12000/JR18102
    [9]
    LI Na, YANG Haining, LI Tingjun, et al. MIMO borehole radar imaging based on high degree of freedom for efficient subsurface sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(6): 3380–3391. doi: 10.1109/TGRS.2018.2884257
    [10]
    FISHLER E, HAIMOVICH A, BLUM R, et al. MIMO radar: An idea whose time has come[C]. Proceedings of 2004 IEEE Radar Conference, Philadelphia, USA, 2004: 71–78. doi: 10.1109/NRC.2004.1316398.
    [11]
    FORSYTHE K W, BLISS D W, and FAWCETT G S. Multiple-input multiple-output (MIMO) radar: Performance issues[C]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2004: 310–315. doi: 10.1109/ACSSC.2004.1399143.
    [12]
    ROBEY F C, COUTTS S, WEIKLE D, et al. MIMO radar theory and experimental results[C]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2004: 300–304. doi: 10.1109/ACSSC.2004.1399141.
    [13]
    WHITE L B and RAY P S. Signal design for MIMO diversity systems[C]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2004: 973–977. doi: 10.1109/ACSSC.2004.1399284.
    [14]
    TABRIKIAN J and BEKKERMAN I. Transmission diversity smoothing for multi-target localization[radar/sonar systems][C]. 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, USA, 2005: 1041–1044. doi: 10.1109/ICASSP.2005.1416190.
    [15]
    TABRIKIAN J. Barankin bounds for target localization by MIMO radars[C]. The 4th IEEE Workshop on Sensor Array and Multichannel Processing, Waltham, USA, 2006: 278–281. doi: 10.1109/SAM.2006.1706137.
    [16]
    FISHLER E, HAIMOVICH A, BLUM R S, et al. Spatial diversity in radars-models and detection performance[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 823–838. doi: 10.1109/tsp.2005.862813
    [17]
    LI Jian, STOICA P, XU Luzhou, et al. On parameter identifiability of MIMO radar[J]. IEEE Signal Processing Letters, 2007, 14(12): 968–971. doi: 10.1109/lsp.2007.905051
    [18]
    LEHMANN N H, FISHLER E, HAIMOVICH A M, et al. Evaluation of transmit diversity in MIMO-radar direction finding[J]. IEEE Transactions on Signal Processing, 2007, 55(5): 2215–2225. doi: 10.1109/tsp.2007.893220
    [19]
    KRIEGER G. MIMO-SAR: Opportunities and pitfalls[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2628–2645. doi: 10.1109/TGRS.2013.2263934
    [20]
    ZHU Yutao, SU Yi, and YU Wenxian. An ISAR imaging method based on MIMO technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(8): 3290–3299. doi: 10.1109/tgrs.2010.2045230
    [21]
    ZHU Yutao and SU Yi. A type of M2-transmitter N2-receiver MIMO radar array and 3D imaging theory[J]. Science China Information Sciences, 2011, 54(10): 2147–2157. doi: 10.1007/s11432-011-4400-y
    [22]
    MA Changzheng, YEO T S, TAN C S, et al. Three-dimensional imaging of targets using colocated MIMO radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8): 3009–3021. doi: 10.1109/tgrs.2011.2119321
    [23]
    MA Changzheng, YEO T S, TAN C S, et al. Three-dimensional imaging using colocated MIMO radar and ISAR technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(8): 3189–3201. doi: 10.1109/tgrs.2011.2178607
  • 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
    Article views(3670) PDF downloads(234) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint