+Advanced Search

Advanced Search

The multifractal spectrum of a sea clutter using a random walk model

HE Jingbo,  XU Jianghu

downloadPDF
文章导航 > Acta Oceanologica Sinica  > 2017 >  36(9): 23-26
贺静波, 许江湖. 基于海杂波随机游走模型的多重分形谱分析[J]. 海洋学报英文版, 2017, 36(9): 23-26. doi: 10.1007/s13131-017-1107-y
引用本文: 贺静波, 许江湖. 基于海杂波随机游走模型的多重分形谱分析[J]. 海洋学报英文版, 2017, 36(9): 23-26. doi: 10.1007/s13131-017-1107-y
shu
HE Jingbo, XU Jianghu. The multifractal spectrum of a sea clutter using a random walk model[J]. Acta Oceanologica Sinica, 2017, 36(9): 23-26. doi: 10.1007/s13131-017-1107-y
Citation: HE Jingbo, XU Jianghu. The multifractal spectrum of a sea clutter using a random walk model[J]. Acta Oceanologica Sinica, 2017, 36(9): 23-26. doi: 10.1007/s13131-017-1107-y
shu

基于海杂波随机游走模型的多重分形谱分析

doi: 10.1007/s13131-017-1107-y

  • 海军工程大学电子工程学院, 武汉, 430033

基金项目: The National Natural Science Foundation of China under contract No. 61401493; the Naval University of Engineering Natural Science Foundation of China under contract No. HGDQNSQJJ15003.

The multifractal spectrum of a sea clutter using a random walk model

  • Electronics Engineering College, Naval University of Engineering, Wuhan 430033, China

    摘要
  • 摘要: 海杂波具有非线性、非平稳和时变特性，多重分形测度分析是对物理系统局部奇异性的一个完整描述。本文根据海杂波电磁散射的经典模型——随机游走模型，利用随机微分理论对海杂波的物理特性进行了系统地建模分析。建立了描述海杂波电磁散射时变特性的随机微分方程，利用Itô公式得到了海杂波散射信号幅度和相位的扩散过程模型，并利用多重分形谱分析了该模型的奇异性。为了验证其准确性，与加拿大McMaster大学IPIX雷达实测海杂波数据的多重分形谱进行对比，实验结果表明两者完全一致，从而表明基于随机游走的随机微分模型是描述海杂波动力学机理的有效算法。
    Abstract: The radar echo signal of a sea clutter is nonlinear, nonstationary and time varying. A multifractal measure analysis can describe the local singularity of a physics system. The random walk model of a sea clutter scattering is analysed to disclose the intrinsic physical characteristics and laws of the sea clutter. Stochastic differential equations are given for the physical quality of the sea clutter. A diffusion process model is established using Itô formula. The singularity of the random walk model is tested by a multifractal spectroscopy, and the accuracy of this model is proven by the multifractal spectroscopy of a real-life IPIX radar data set. Thus, the random walk model is effective for describing the dynamics mechanism of the sea clutter.
    • HTML全文
    • 参考文献(16)
  • Feng Tao, Field T R, Haykin S. 2007. Stochastic differential equation theory applied to wireless channels. IEEE Transactions on Communications, 55(8):1478-1483
    Granström K, Natale A, Braca P, et al. 2015. Gamma Gaussian inverse wishart probability hypothesis density for extended target tracking using X-band marine radar data. IEEE Transactions on Geoscience and Remote Sensing, 53(12):6617-6631
    Guan Jian, Liu Ningbo, Zhang Jian, et al. 2010. Multifractal correlation characteristic of real sea clutter and low-observable targets detection. Journal of Electronics & Information Technology (in Chinese), 32(1):54-61
    Güntürkün U. 2015. Bivariate empirical mode decomposition for cognitive radar scene analysis. IEEE Signal Processing Letters, 22(5):603-607
    Jakeman E, Pusey P N. 1976. A model for non-Rayleigh sea echo. IEEE Transactions on Antennas and Propagation, 24(6):806-814
    Jakeman E, Tough R J A. 1987. Generalized K distribution:a statistical model for weak scattering. Journal of the Optical Society of America A, 4(9):1764-1772
    Li Yang, Lv Xiaowen, Liu Kuisheng, et al. 2014. Fractal-based weak target detection within sea clutter. Acta Oceanologica Sinica, 33(9):68-72
    Liu Ningbo, Huang Yong, Guan Jian, et al. 2012. Fractal analysis of real sea clutter in frequency domain. Journal of Electronics & Information Technology (in Chinese), 34(4):929-935
    Rosenberg L, Bocquet S. 2015. Application of the Pareto plus noise distribution to medium grazing angle sea-clutter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(1):255-261
    Suresh P, Thayaparan T, Venkataramaniah K. 2015. Fourier-bessel transform and time-frequency-based approach for detecting manoeuvring air target in sea-clutter. IET Radar, Sonar & Navigation, 9(5):481-491
    Velotto D, Soccorsi M, Lehner S. 2014. Azimuth ambiguities removal for ship detection using full polarimetric X-band SAR data. IEEE Transactions on Geoscience and Remote Sensing, 52(1):76-88
    Wu Gengkun, Ji Guangrong, Ji Tingting, et al. 2014. Study of electromagnetic scattering from two-dimensional rough sea surface based on improved Wen's spectrum. Acta Physica Sinica (in Chinese), 63(13):134203
    Xing Hongyan, Zhu Qingqing, Xu Wei. 2014. A method of weak target detection based on the sea clutter. Acta Physica Sinica (in Chinese), 63(10):100505
    Xiong Gang, Zhang Shuning, Zhao Huichang. 2014. Time-varying singularity spectrum distribution of sea clutter based on wavelet leaders. Acta Physica Sinica (in Chinese), 63(15):150503
    Xu Xinyu, Zhang Yushi, Li Xin, et al. 2014. KK distribution modeling with L band low grazing sea clutter. Systems Engineering and Electronics (in Chinese), 36(7):1304-1308
    Zhang Yushi, Xu Xinyu, Yin Yalei, et al. 2014. Research on amplitude statistics of l-band low grazing angle sea clutter. Journal of Electronics & Information Technology (in Chinese), 36(5):1044-1048
    • 相关文章
    • 施引文献
  • 资源附件(0)
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  1152
  • HTML全文浏览量:  51
  • PDF下载量:  1072
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-08-07

目录

    /

    返回文章
    返回
    Govern Body: China Association for Science and Technology
    Sponsor: Chinese Society for Oceanography
    Tel: 86-10-62179976
    E-mail: ocean2@hyxb.org.cn
    Website: http://www.aosocean.com/
    京ICP备12043220号-7

    Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计