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弹道目标宽带雷达干涉式三维成像与微动特征提取

胡健 罗迎 张群 孙玉雪 胡超

胡健, 罗迎, 张群, 孙玉雪, 胡超. 弹道目标宽带雷达干涉式三维成像与微动特征提取[J]. 电子与信息学报, 2017, 39(8): 1865-1871. doi: 10.11999/JEIT161134
引用本文: 胡健, 罗迎, 张群, 孙玉雪, 胡超. 弹道目标宽带雷达干涉式三维成像与微动特征提取[J]. 电子与信息学报, 2017, 39(8): 1865-1871. doi: 10.11999/JEIT161134
HU Jian, LUO Ying, ZHANG Qun, SUN Yuxue, HU Chao. Three-dimensional Interferometric Imaging and Micro-motion Feature Extraction of Ballistic Targets in Wideband Radar[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1865-1871. doi: 10.11999/JEIT161134
Citation: HU Jian, LUO Ying, ZHANG Qun, SUN Yuxue, HU Chao. Three-dimensional Interferometric Imaging and Micro-motion Feature Extraction of Ballistic Targets in Wideband Radar[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1865-1871. doi: 10.11999/JEIT161134

弹道目标宽带雷达干涉式三维成像与微动特征提取

doi: 10.11999/JEIT161134
基金项目: 

国家自然科学基金(61571457, 61471386),陕西省青年科技新星计划(2016KJXX-49)

Three-dimensional Interferometric Imaging and Micro-motion Feature Extraction of Ballistic Targets in Wideband Radar

Funds: 

The National Natural Science Foundation of China (61571457, 61471386), The Youth Science and Technology Nova Program of Shaanxi Province (2016KJXX-49)

  • 摘要: 基于微多普勒效应理论的弹道目标3维成像与3维微动特征提取技术可为目标识别,导弹防御提供重要特征信息。该文将干涉式逆合成孔径雷达(InISAR)中多天线干涉处理的思想引入到弹道目标3维成像与3维微动特征提取研究中,将微多普勒效应理论与多天线干涉处理技术相结合,重构出散射点在各时刻的3维坐标,实现弹道目标的真实3维成像,并在此基础上解算出弹道目标的微动参数与结构参数。仿真实验验证了所提方法的有效性与鲁棒性。
  • 张群, 罗迎. 雷达目标微多普勒效应[M]. 北京: 国防工业出版社, 2013: 47-64.
    ZHANG Qun and LUO Ying. Micro-Doppler Effect of Radar Targets[M]. Beijing: National Defense Industry Press, 2013: 47-64.
    韩勋, 杜兰, 刘宏伟. 基于窄带微多普勒调制的锥体目标参数估计[J]. 电子与信息学报, 2015, 37(4): 961-968. doi: 10.11999 /JEIT140814.
    HAN Xun, DU Lan, and LIU Hongwei. Parameter estimation of cone-shaped target based on narrowband micro-Doppler modulation[J]. Journal of Electronics Information Technology, 2015, 37(4): 961-968. doi: 10.11999/JEIT140814.
    WANG Qi, XING Mengdao, LU Guangyue, et al. High- resolution three-dimensional radar imaging for rapidly spinning targets[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1): 22-30. doi: 10.1109/TGRS. 2007.909086.
    XING Mengdao, WANG Qi, WANG Genyuan, et al. A matched-filter-bank-based 3-D imaging algorithm for rapidly spinning targets[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(7): 2106-2113. doi: 10.1109/TGRS. 2008.2010499.
    ZHANG Lei, XING Mengdao, QIU Chengwei, et al. Two- dimensional spectrum matched filter banks for high-speed spinning-target three-dimensional ISAR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(3): 368-372. doi: 10.1109/LGRS.2009.2013487.
    BAI Xueru, XING Mengdao, ZHOU Feng, et al. High- resolution three-dimensional imaging of spinning space debris[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(7): 2352-2362. doi: 10.1109/TGRS.2008. 2010854.
    BAI Xueru, XING Mengdao, ZHOU Feng, et al. Scaling the 3-D image of spinning space debris via bistatic inverse synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(3): 430-434. doi: 10.1109/LGRS. 2009.2038286.
    AI Xiaofeng, HUANG Yan, ZHAO Feng, et al. Imaging of spinning targets via narrow-band T/R-R bistatic radars[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 362-366. doi: 10.1109/LGRS.2012.2205893.
    LUO Ying, ZHANG Qun, YUAN Ning, et al. Three- dimensional precession feature extraction of space targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 1313-1329. doi: 10.1109/TAES.2014.110545.
    CHEN Qianqian, XU Gang, ZHANG Lei, et al. Three- dimensional interferometric inverse synthetic aperture radar imaging with limited pulses by exploiting joint sparsity[J]. IET Radar, Sonar Navigation, 2015, 9(6): 692-701. doi: 10.1049/iet-rsn.2014.0275.
    刘承兰. 干涉逆合成孔径雷达(InISAR)三维成像技术研究[D]. [博士论文], 国防科学技术大学, 2012: 16-37.
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    肖金国, 杜兰, 韩勋, 等. 基于参数化时频分析的进动锥裙目标瞬时微多普勒频率提取方法[J]. 电子与信息学报, 2016, 38(1): 90-96. doi: 10.11999/JEIT150505.
    XIAO Jinguo, DU Lan, HAN Xun, et al. Micro-Doppler frequency extraction for cone-skirt shaped target with precession based on parameterized time-frequency analysis[J]. Journal of Electronics Information Technology, 2016, 38(1): 90-96. doi: 10.11999/JEIT150505.
    孙静. 一种基于改进AMDF的进动周期估计方法[J]. 科学技术与工程, 2015, 15(27): 152-158.
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    罗迎, 张群, 李松, 等. 基于分布式组网雷达的弹道目标三维进动特征提取[J]. 电子学报, 2012, 40(6): 1080-1085. doi: 10.3969/j.issn.0372-2112.2012.06.002.
    LUO Ying, ZHANG Qun, LI Song, et al. Three- dimensional precession feature extraction of ballistic targets in distributed radar networks[J]. Acta Electronica Sinica, 2012, 40(6): 1080-1085. doi: 10.3969/j.issn.0372-2112.2012.06.002.
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出版历程
  • 收稿日期:  2016-10-25
  • 修回日期:  2017-04-05
  • 刊出日期:  2017-08-19

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