Volume 12 Issue 6
Dec.  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2023  >  12(6): 1166-1178
REN Lingyun, WU Di, ZHU Daiyin, et al. Forward-looking imaging via iterative super-resolution estimation in airborne multi-channel radar[J]. Journal of Radars, 2023, 12(6): 1166–1178. doi: 10.12000/JR23085
Citation: REN Lingyun, WU Di, ZHU Daiyin, et al. Forward-looking imaging via iterative super-resolution estimation in airborne multi-channel radar[J]. Journal of Radars, 2023, 12(6): 1166–1178. doi: 10.12000/JR23085
shu

Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar

DOI: 10.12000/JR23085

  • College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Funds:  The National Natural Science Foundation of China (62271252)
More Information
  • Corresponding author: WU Di, wudi82@nuaa.edu.cn; ZHU Daiyin, zhudy@nuaa.edu.cn
  • Received Date: 2023-05-10
  • Rev Recd Date: 2023-07-10
    • Available Online: 2023-07-14
  • Publish Date: 2023-07-27
    Abstract
  • The direction of arrival estimation algorithm can overcome the Rayleigh limit, effectively separate multiple targets within the main lobe, and improve the azimuth resolution when applied to forward-looking imaging in airborne multi-channel radar. However, the limited antenna beam coverage and rapid scanning result in a scarcity of data samples available for covariance matrix estimation, leading to direction and amplitude estimation errors. Herein, we propose a forward-looking imaging algorithm based on single-snapshot iterative super-resolution estimation. The algorithm performs single-snapshot iterative spectral estimation to accurately determine the azimuth and amplitude of the target. Subsequently, a high-resolution image is achieved through non-coherent accumulation. Simulation and experimental data processing results show that the proposed algorithm can resolve multiple targets, significantly improving the azimuth resolution of the forward-looking image compared with traditional forward-looking imaging algorithms. Moreover, it ensures the accurate reconstruction of point targets and contour reconstruction of area targets.

     

    • FullText(HTML)
  • loading
    • References(32)
  • [1]
    杨建宇. 雷达对地成像技术多向演化趋势与规律分析[J]. 雷达学报, 2019, 8(6): 669–692. doi: 10.12000/JR19099

    YANG Jianyu. Multi-directional evolution trend and law analysis of radar ground imaging technology[J]. Journal of Radars, 2019, 8(6): 669–692. doi: 10.12000/JR19099
    [2]
    樊晨阳, 贺思三, 郭乾. 雷达前视成像技术的研究现状[J]. 电光与控制, 2021, 28(9): 59–64. doi: 10.3969/j.issn.1671-637X.2021.09.013

    FAN Chenyang, HE Sisan, and GUO Qian. Research status of radar forward-looking imaging technology[J]. Electronics Optics&Control, 2021, 28(9): 59–64. doi: 10.3969/j.issn.1671-637X.2021.09.013
    [3]
    MOREIRA A, PRATS-IRAOLA P, YOUNIS M, et al. A tutorial on synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(1): 6–43. doi: 10.1109/MGRS.2013.2248301
    [4]
    陈洪猛. 机载广域监视雷达高分辨成像方法研究[D]. [博士论文], 西安电子科技大学, 2016.

    CHEN Hongmeng. Study of high resolution imaging for airborne wide area surveillance radar[D]. [Ph. D. dissertation], Xidian University, 2016.
    [5]
    ONAT E and ÖZKAZANÇ Y. An analysis of Doppler beam sharpening technique used in fighter aircraft[C]. The 26th Signal Processing and Communications Applications Conference, Izmir, Turkey, 2018: 1–4.
    [6]
    MAO Deqing, ZHANG Yongchao, ZHANG Yin, et al. Doppler beam sharpening using estimated Doppler centroid based on edge detection and fitting[J]. IEEE Access, 2019, 7: 123604–123615. doi: 10.1109/ACCESS.2019.2937992
    [7]
    杨志伟, 贺顺, 廖桂生. 机载单通道雷达实波束扫描的前视探测[J]. 航空学报, 2012, 33(12): 2240–2245.

    YANG Zhiwei, HE Shun, and LIAO Guisheng. Forward-looking detection for airborne single-channel radar with beam scanning[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(12): 2240–2245.
    [8]
    温晓杨, 匡纲要, 胡杰民, 等. 基于实波束扫描的相控阵雷达前视成像[J]. 航空学报, 2014, 35(7): 1977–1991. doi: 10.7527/S1000-6893.2013.0545

    WEN Xiaoyang, KUANG Gangyao, HU Jiemin, et al. Forward-looking imaging based on real beam scanning phased array radars[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(7): 1977–1991. doi: 10.7527/S1000-6893.2013.0545
    [9]
    SUTOR T, WITTE F, and MOREIRA A. New sector imaging radar for enhanced vision: SIREV[C]. SPIE 3691, Enhanced and Synthetic Vision, Orlando, USA, 1999.
    [10]
    吴迪, 朱岱寅, 田斌, 等. 单脉冲成像算法性能分析[J]. 航空学报, 2012, 33(10): 1905–1914.

    WU Di, ZHU Daiyin, TIAN Bin, et al. Performance evaluation for monopulse imaging algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(10): 1905–1914.
    [11]
    吴迪, 杨成杰, 朱岱寅, 等. 一种用于单脉冲成像的自聚焦算法[J]. 电子学报, 2016, 44(8): 1962–1968. doi: 10.3969/j.issn.0372-2112.2016.08.027

    WU Di, YANG Chengjie, ZHU Daiyin, et al. An autofocusing algorithm for monopulse imaging[J]. Acta Electronica Sinica, 2016, 44(8): 1962–1968. doi: 10.3969/j.issn.0372-2112.2016.08.027
    [12]
    李悦丽, 马萌恩, 赵崇辉, 等. 基于单脉冲雷达和差通道多普勒估计的前视成像[J]. 雷达学报, 2021, 10(1): 131–142. doi: 10.12000/JR20111

    LI Yueli, MA Meng’en, ZHAO Chonghui, et al. Forward-looking imaging via Doppler estimates of sum-difference measurements in scanning monopulse radar[J]. Journal of Radars, 2021, 10(1): 131–142. doi: 10.12000/JR20111
    [13]
    WALTERSCHEID I, ESPETER T, GIERULL C, et al. Results and analysis of hybrid bistatic SAR experiments with spaceborne, airborne and stationary sensors[C]. 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, 2009: II-238–II-241.
    [14]
    YANG Jianyu, HUANG Yulin, YANG Haiguang, et al. A first experiment of airborne bistatic forward-looking SAR - Preliminary results[C]. 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013: 4202–4204.
    [15]
    LIU Zhutian, YE Hongda, LI Zhongyu, et al. Optimally matched space-time filtering technique for BFSAR nonstationary clutter suppression[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5210617. doi: 10.1109/TGRS.2021.3090462
    [16]
    武俊杰, 孙稚超, 杨建宇, 等. 基于GF-3照射的星机双基SAR成像及试验验证[J]. 雷达科学与技术, 2021, 19(3): 241–247. doi: 10.3969/j.issn.1672-2337.2021.03.002

    WU Junjie, SUN Zhichao, YANG Jianyu, et al. Spaceborne-airborne bistatic SAR using GF-3 illumination—technology and experiment[J]. Radar Science and Technology, 2021, 19(3): 241–247. doi: 10.3969/j.issn.1672-2337.2021.03.002
    [17]
    ZHANG Yongchao, MAO Deqing, ZHANG Qian, et al. Airborne forward-looking radar super-resolution imaging using iterative adaptive approach[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(7): 2044–2054. doi: 10.1109/JSTARS.2019.2920859
    [18]
    ZHANG Qiping, ZHANG Yin, HUANG Yulin, et al. TV-sparse super-resolution method for radar forward-looking imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(9): 6534–6549. doi: 10.1109/TGRS.2020.2977719
    [19]
    TUO Xingyu, ZHANG Yin, HUANG Yulin, et al. Fast sparse-TSVD super-resolution method of real aperture radar forward-looking imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(8): 6609–6620. doi: 10.1109/TGRS.2020.3027053
    [20]
    HUO Weibo, TUO Xingyu, ZHANG Yin, et al. Balanced tikhonov and total variation deconvolution approach for radar forward-looking super-resolution imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 3505805. doi: 10.1109/lgrs.2021.3072389
    [21]
    毛德庆. 机载雷达扫描波束超分辨成像方法研究[D]. [博士论文], 电子科技大学, 2022.

    MAO Deqing. Research on scanning beam super-resolution imaging methods for airborne radar[D]. [Ph. D. dissertation], University of Electronic Science and Technology of China, 2022.
    [22]
    ZHANG Yin, SHEN Jiahao, TUO Xingyu, et al. Scanning radar forward-looking superresolution imaging based on the Weibull distribution for a sea-surface target[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5116111. doi: 10.1109/TGRS.2022.3194118
    [23]
    GUPTA I J, BEALS M J, and MOGHADDAR A. Data extrapolation for high resolution radar imaging[J]. IEEE Transactions on Antennas and Propagation, 1994, 42(11): 1540–1545. doi: 10.1109/8.362783
    [24]
    CHO B L and SUN S G. Cross-range resolution improvement in forward-looking imaging radar using autoregressive model-based data extrapolation[J]. IET Radar,Sonar&Navigation, 2015, 9(8): 933–941. doi: 10.1049/IET-RSN.2014.0495
    [25]
    张洁. 阵列雷达前视成像技术研究[D]. [硕士论文], 南京航空航天大学, 2018.

    ZHANG Jie. Study on array radar forward-looking imaging techniques[D]. [Master dissertation], Nanjing University of Aeronautics and Astronautics, 2018.
    [26]
    ZHANG Jie, WU Di, ZHU Daiyin, et al. An airborne/missile-borne array radar forward-looking imaging algorithm based on super-resolution method[C]. The 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, Shanghai, China, 2017: 1–5.
    [27]
    BLUNT S D and GERLACH K. Adaptive pulse compression via MMSE estimation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(2): 572–584. doi: 10.1109/TAES.2006.1642573
    [28]
    BLUNT S D, CHAN T, and GERLACH K. Robust DOA estimation: The reiterative superresolution (RISR) algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(1): 332–346. doi: 10.1109/TAES.2011.5705679
    [29]
    YARDIBI T, LI Jian, STOICA P, et al. Source localization and sensing: A nonparametric iterative adaptive approach based on weighted least squares[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1): 425–443. doi: 10.1109/TAES.2010.5417172
    [30]
    ROBERTS W, STOICA P, LI Jian, et al. Iterative adaptive approaches to MIMO radar imaging[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(1): 5–20. doi: 10.1109/JSTSP.2009.2038964
    [31]
    张小飞, 张胜男, 徐大专. 自适应对角线加载的波束形成算法[J]. 中国空间科学技术, 2007, 27(2): 66–71. doi: 10.3321/j.issn:1000-758X.2007.02.011

    ZHANG Xiaofei, ZHANG Shengnan, and XU Dazhuan. Adaptive diagonal loading beamforming algorithm[J]. Chinese Space Science and Technology, 2007, 27(2): 66–71. doi: 10.3321/j.issn:1000-758X.2007.02.011
    [32]
    CARLSON B D. Covariance matrix estimation errors and diagonal loading in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1988, 24(4): 397–401. doi: 10.1109/7.7181
    • 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(754) PDF downloads(223) 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