Volume 8 Issue 3
Jun.  2019
Turn off MathJax
Article Contents
ZUO Lei, CHAN Xiuxiu, LU Xiaofei, et al. A weak target detection method in sea clutter based on joint space-time-frequency decomposition[J]. Journal of Radars, 2019, 8(3): 335–343. doi: 10.12000/JR19035
Citation: ZUO Lei, CHAN Xiuxiu, LU Xiaofei, et al. A weak target detection method in sea clutter based on joint space-time-frequency decomposition[J]. Journal of Radars, 2019, 8(3): 335–343. doi: 10.12000/JR19035

A Weak Target Detection Method in Sea Clutter Based on Joint Space-time-frequency Decomposition

DOI: 10.12000/JR19035
Funds:  The National Natural Science Foundation of China (61871307), The Aviation Fund (20170181001)
More Information
  • Corresponding author: ZUO Lei, lzuo@mail.xidian.edu.cn
  • Received Date: 2019-02-28
  • Rev Recd Date: 2019-06-13
  • Available Online: 2019-06-24
  • Publish Date: 2019-06-01
  • The target on the sea destroys the movement of the sea and affects an area around the target. Therefore, radar echoes from a target on the sea can be found in several successive range cells. Analysis of the echoes shows that the echoes of the target have a long range correlation in space. In this paper, we propose a target detection method by using the joint space-time-frequency decomposition, according to the diffidence between the target echoes and the sea clutter. Therein, the cross S-Method is proposed, which can be considered as the summation of the cross Wigner-Ville representations of the signal components and the sea clutter components, respectively. By using the inverse transform of the cross Wigner-Ville representation, we decompose the echoes from successive range cells. Then a signature, revealing the cross time-frequency concentration, is used to find the signal component in the decomposed signal components. The proposed method is evaluated by the X-band sea echoes with a simulated target or a real target. Results demonstrate that the proposed method not only detects the weak target in high accuracy, but also provides its instantaneous state.

     

  • loading
  • [1]
    VALENZUELA G R. Theories for the interaction of electromagnetic and oceanic waves—a review[J]. Boundary-Layer Meteorology, 1978, 13(1/4): 61–85. doi: 10.1007/BF00913863
    [2]
    陈小龙, 关键, 何友. 微多普勒理论在海面目标检测中的应用及展望[J]. 雷达学报, 2013, 2(1): 123–134. doi: 10.3724/SP.J.1300.2013.20102

    CHEN Xiaolong, GUAN Jian, and HE You. Applications and prospect of micro-motion theory in the detection of sea surface target[J]. Journal of Radars, 2013, 2(1): 123–134. doi: 10.3724/SP.J.1300.2013.20102
    [3]
    左磊, 李明, 张晓伟, 等. 基于改进Hough变换的海面微弱目标检测[J]. 电子与信息学报, 2012, 34(4): 923–928. doi: 10.3724/SP.J.1146.2011.00373

    ZUO Lei, LI Ming, ZHANG Xiaowei, et al. Small-target detection in sea clutter based on improved Hough transform[J]. Journal of Electronics &Information Technology, 2012, 34(4): 923–928. doi: 10.3724/SP.J.1146.2011.00373
    [4]
    陈小龙, 刘宁波, 宋杰, 等. 海杂波FRFT域分形特征判别及动目标检测方法[J]. 电子与信息学报, 2011, 33(4): 823–830. doi: 10.3724/SP.J.1146.2010.00486

    CHEN Xiaolong, LIU Ningbo, SONG Jie, et al. Fractal feature discriminant of sea clutter in FRFT domain and moving target detection algorithm[J]. Journal of Electronics & Information Technology, 2011, 33(4): 823–830. doi: 10.3724/SP.J.1146.2010.00486
    [5]
    武鹏, 王俊, 王文光. 基于极化特征分解的海上小目标检测算法研究[J]. 电子与信息学报, 2011, 33(4): 816–822. doi: 10.3724/SP.J.1146.2010.00678

    WU Peng, WANG Jun, and WANG Wenguang. Small target detection in sea clutter based on polarization characteristics decomposition[J]. Journal of Electronics &Information Technology, 2011, 33(4): 816–822. doi: 10.3724/SP.J.1146.2010.00678
    [6]
    苏宁远, 陈小龙, 关键, 等. 基于卷积神经网络的海上微动目标检测与分类方法[J]. 雷达学报, 2018, 7(5): 565–574. doi: 10.12000/JR18077

    SU Ningyuan, CHEN Xiaolong, GUAN Jian, et al. Detection and classification of maritime target with micro-motion based on CNNs[J]. Journal of Radars, 2018, 7(5): 565–574. doi: 10.12000/JR18077
    [7]
    陈建军, 黄孟俊, 邱伟, 等. 海杂波下的双门限恒虚警目标检测新方法[J]. 电子学报, 2011, 39(9): 2135–2141.

    CHEN Jianjun, HUANG Mengjun, QIU Wei, et al. A novel method for CFAR detector with Bi-thresholds in sea clutter[J]. Acta Electronica Sinica, 2011, 39(9): 2135–2141.
    [8]
    ZUO Lei, LI Ming, ZHANG Xiaowei, et al. An efficient method for detecting slow-moving weak targets in sea clutter based on time-frequency iteration decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3659–3672. doi: 10.1109/TGRS.2012.2224665
    [9]
    PANAGOPOULOS S and SORAGHAN J J. Small-target detection in sea clutter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(7): 1355–1361. doi: 10.1109/TGRS.2004.827259
    [10]
    THAYAPARAN T and KENNEDY S. Detection of a manoeuvring air target in sea-clutter using joint time-frequency analysis techniques[J]. IEE Proceedings - Radar, Sonar and Navigation, 2004, 151(1): 19–30. doi: 10.1049/ip-rsn:20040158
    [11]
    YASOTHARAN A and THAYAPARAN T. Time-frequency method for detecting an accelerating target in sea clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(4): 1289–1310. doi: 10.1109/TAES.2006.314573
    [12]
    关键, 张建. 基于固有模态能量熵的微弱目标检测算法[J]. 电子与信息学报, 2011, 33(10): 2494–2499. doi: 10.3724/SP.J.1146.2011.00147

    GUAN Jian and ZHANG Jian. Weak target detection based on intrinsic mode energy entropy[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2494–2499. doi: 10.3724/SP.J.1146.2011.00147
    [13]
    ZHANG Y, QIAN S, and THAYAPARAN T. Detection of a manoeuvring air target in strong sea clutter via joint time-frequency representation[J]. IET Signal Processing, 2008, 2(3): 216–222. doi: 10.1049/iet-spr:20070047
    [14]
    STANKOVIĆ L, THAYAPARAN T, and DAKOVIC M. Signal decomposition by using the S-method with application to the analysis of HF radar signals in sea-clutter[J]. IEEE Transactions on Signal Processing, 2006, 54(11): 4332–4342. doi: 10.1109/TSP.2006.880248
    [15]
    ZUO Lei, LI Ming, ZHANG Xiaomei, et al. CFAR detection of range-spread targets based on the time-frequency decomposition feature of two adjacent returned signals[J]. IEEE Transactions on Signal Processing, 2013, 61(24): 6307–6319. doi: 10.1109/TSP.2013.2282274
    [16]
    时艳玲, 林毓峰, 梁丹丹. 非平稳海杂波背景下子带分段ANMF检测器[J]. 系统工程与电子技术, 2018, 40(4): 782–789. doi: 10.3969/j.issn.1001-506X.2018.04.11

    SHI Yanling, LIN Yufeng, and LIANG Dandan. Subband segmented ANMF detector in non-stationary sea clutter[J]. Systems Engineering and Electronics, 2018, 40(4): 782–789. doi: 10.3969/j.issn.1001-506X.2018.04.11
    [17]
    BAKKER R and CURRIE B. The IPIX radar database. Cognitive systems Laboratory-McMaster University[EB/OL]. http://soma.mcmaster.ca//ipix.php, 2015.
  • 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(3778) PDF downloads(291) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint