Volume 6 Issue 1
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Gu Wenkun, Wang Dangwei, Ma Xiaoyan. Distributed MIMO-ISAR Sub-image Fusion Method[J]. Journal of Radars, 2017, 6(1): 90-97. doi: 10.12000/JR16042
Citation: Gu Wenkun, Wang Dangwei, Ma Xiaoyan. Distributed MIMO-ISAR Sub-image Fusion Method[J]. Journal of Radars, 2017, 6(1): 90-97. doi: 10.12000/JR16042
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Distributed MIMO-ISAR Sub-image Fusion Method

doi: 10.12000/JR16042

  • Air Force Early Warning Academy, Wuhan 430019, China

Funds:

The National Natural Science Foundation of China 61179015

  • Received Date: 2016-02-22
  • Rev Recd Date: 2016-03-22
    • Available Online: 2016-05-20
  • Publish Date: 2017-02-28
    Abstract
  • The fast fluctuation associated with maneuvering a target's radar cross-section often affects the imaging performance stability of traditional monostatic Inverse Synthetic Aperture Radar (ISAR). To address this problem, in this study, we propose an imaging method based on the fusion of sub-images of frequencydiversity-distributed multiple Input-Multiple Output-Inverse Synthetic Aperture Radar (MIMO-ISAR). First, we establish the analytic expression of a two-dimensional ISAR sub-image acquired by different channels of distributed MIMO-ISAR. Then, we derive the distance and azimuth distortion factors of the image acquired by the different channels. By compensating for the distortion of the ISAR image, we ultimately realize distributed MIMO-ISAR fusion imaging. Simulations verify the validity of this imaging method using distributed MIMOISAR.

     

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    • References(17)
  • [1]
    Duan H P, Zhang L Z, and Fang J. Pattern-coupled sparse Bayesian learning for inverse synthetic aperture radar imaging[J]. IEEE Signal Processing Letters, 2015, 22(11):1995-1999. doi: 10.1109/LSP.2015.2452412
    [2]
    保铮, 邢孟道, 王彤.雷达成像技术[M].北京:电子工业出版社, 2005:229-276.

    Bao Z, Xing M D, and Wang T. Radar Imaging Technology[M]. Beijing:Publishing House of Electronics Industry, 2005:229-276.
    [3]
    Xu J, Dai X Z, Xia X G, et al.. Optimizations of multisite radar system with MIMO radars for target detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4):2329-2343. doi: 10.1109/TAES.2011.6034636
    [4]
    张亚标, 朱振波, 汤子跃, 等.双站逆合成孔径雷达成像理论研究[J].电子与信息学报, 2006, 28(6):969-972. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX200606003.htm

    Zhang Y B, Zhu Z B, Tang Z Y, et al.. Bistatic inverse synthetic aperture radar image formation[J]. Journal of Electronics & Information Technology, 2006, 28(6):969-972. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX200606003.htm
    [5]
    Palmer J, Homer J, Longstaff I D, et al.. ISAR imaging using an emulated multistatic radar system[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(4):1464-1472. doi: 10.1109/TAES.2005.1561897
    [6]
    Fishler E, Haimovich A, Blum R, et al.. MIMO radar:an idea whose time has come[C]. IEEE Radar Conference, 2004:71-78.
    [7]
    Fishler E, Haimovich A, Blum R, 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
    [8]
    Wang D W, Ma X Y, and Su Y. Two-dimensional imaging via a narrow-band MIMO radar system with two perpendicular linear arrays[J]. IEEE Transactions on Image Processing, 2010, 19(5):1269-1279. doi: 10.1109/TIP.2009.2039374
    [9]
    Pastina D, Santi F, and Bucciarelli M. MIMO distributed imaging of rotating targets for improved 2-D resolution[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1):190-194. doi: 10.1109/LGRS.2014.2331754
    [10]
    朱宇涛, 郁文贤, 粟毅.一种基于MIMO技术的ISAR成像方法[J].电子学报, 2009, 37(9):1885-1894. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU200909002.htm

    Zhu Y T, YU W X, and Su Y. An ISAR imaging method based on MIMO technique[J]. Acta Electronica Sinica, 2009, 37(9):1885-1894. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU200909002.htm
    [11]
    Ma C Z, 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
    [12]
    陈刚, 顾红, 苏卫民, 等. MIMO-ISAR匀加速旋转目标运动参数估计及性能分析[J].电子与信息学报, 2014, 36(8):1919-1925. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201408024.htm

    Chen G, Gu H, Su W M, et al.. Motion parameter estimation and performance analysis for constant accelerating rotating target in MIMO-ISAR imaging[J]. Journal of Electronics & Information Technology, 2014, 36(8):1919-1925. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201408024.htm
    [13]
    徐浩, 尹治平, 刘畅畅, 等.基于压缩感知的稀疏无源雷达成像[J].系统工程与电子技术, 2011, 33(12):2623-2630. http://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201112013.htm

    Xu H, Yin Z P, Liu C C, et al.. Sparse passive radar imaging based on compressive sensing[J]. Systems Engineering and Electronics, 2011, 33(12):2623-2630. http://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201112013.htm
    [14]
    柴守刚. 运动目标分布式雷达成像技术研究[D]. [博士论文], 中国科学技术大学, 2014: 67-91.

    Chai S G. Research on distributed radar imaging of moving target[D].[Ph.D. dissertation], University of Science and Technology of China, 2014:67-91.
    [15]
    Wang W Q. Space-time coding MIMO-OFDM SAR for high-resolution imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8):3094-3104. doi: 10.1109/TGRS.2011.2116030
    [16]
    王文钦, 程胜娟, 邵怀宗.基于稀疏矩阵和相关函数联合优化的MIMO-OFDM线性调频波形复用设计与实现方法[J].雷达学报, 2015, 4(1):1-10. http://radars.ie.ac.cn/CN/abstract/abstract237.shtml

    Wang W Q, Cheng S J, and Shao H Z. MIMO-OFDM chirp waveform diversity design and implementation based on sparse matrix and correlation optimization[J]. Journal of Radars, 2015, 4(1):1-10. http://radars.ie.ac.cn/CN/abstract/abstract237.shtml
    [17]
    章毓晋.图像工程 (上册)[M].北京:清华大学出版社, 2013:52-78.

    Zhang Y J. Imaging Engineering (61179015)[M]. Beijing:Tsinghua University Press, 2013:52-78. Victoria S. American Missile Defense[M]. California:United States of America, 2010:44-78.
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