Fractal-based weak target detection within sea clutter

LI Yang LV Xiaowen LIU Kuisheng ZHAO Shangzhuo

LIYang, LVXiaowen, LIUKuisheng, ZHAOShangzhuo. 海杂波微弱目标分形检测[J]. 海洋学报英文版, 2014, 33(9): 68-72. doi: 10.1007/s13131-014-0519-1
引用本文: LIYang, LVXiaowen, LIUKuisheng, ZHAOShangzhuo. 海杂波微弱目标分形检测[J]. 海洋学报英文版, 2014, 33(9): 68-72. doi: 10.1007/s13131-014-0519-1
LI Yang, LV Xiaowen, LIU Kuisheng, ZHAO Shangzhuo. Fractal-based weak target detection within sea clutter[J]. Acta Oceanologica Sinica, 2014, 33(9): 68-72. doi: 10.1007/s13131-014-0519-1
Citation: LI Yang, LV Xiaowen, LIU Kuisheng, ZHAO Shangzhuo. Fractal-based weak target detection within sea clutter[J]. Acta Oceanologica Sinica, 2014, 33(9): 68-72. doi: 10.1007/s13131-014-0519-1

海杂波微弱目标分形检测

doi: 10.1007/s13131-014-0519-1
基金项目: The National Natural Science Foundation of China Project under contract Nos 41276187 and 41076119; the Scientific Research Foundation for Introducing Talents, Nanjing University of Information Science and Technology under contract No. 20110310; Jiangsu Natural Science Foundation under contract No. BK2011008.

Fractal-based weak target detection within sea clutter

  • 摘要: 由于海面对雷达波的强散射作用,使得海面上方微弱目标很难检测。去趋势波动分析利用对海杂波Hurst系数的提取来区分纯净和含目标的海杂波。海杂波频率因为海面运动而多集中在多普勒中心周围,同时广义去趋势波动分析相较于传统去趋势波动分析算法可以更加有效的抑制杂波影响,所以本文提出了多普勒域广义去趋势波动分析方法对含有目标的海杂波进行广义Hurst系数提取。利用广义Hurst系数差别作为海杂波含有目标的依据,并对实测IPIX雷达数据进行处理,结果验证了本文所提算法的有效性。
  • Blostein S D, Huang T S. 1991. Detecting small, moving objects in image sequences using sequential hypothesis testing. IEEE Trans Signal Processing, 39(7): 1611-1629
    Chen Xiaolong, Guan Jian. 2010. A fast FRFT based detection algorithm of multiple moving targets in sea clutter. IEEE Radar Conference. 402-406
    Chen Xiaolong, Guan Jian. 2014. Detection and extraction of target with micromotion in spiky sea clutter via short-time fractional Fourier transform. IEEE Trans Geosci Remote Sensing, 52(2): 1002-1018
    Chen Xiaolong, Guan Jian, He You, et al. 2013. Detection of low observable moving target in sea clutter via fractal characteristics in fractional Fourier transform domain. IET Radar Sonar Navig, 7(6): 635-651
    Guan Jian, Chen Xiaolong, Huang Yong, et al. 2012. Adaptive fractional Fourier transform-based detection algorithm for moving target in heavy sea clutter. IET Radar Sonar Navig, 6(5): 389-401
    Guan Jian, Liu Ningbo, Zhang Jian, et al. 2010. Multifractal correlation characteristic for radar detecting low-observable target in sea clutter. Signal Process, 90(2): 523-535
    Guan Jian, Zhang Yanfei, Huang Yong. 2009. Adaptive subspace detection of range-distributed target in compound-Gaussian clutter. Digital signal processing, 19(1): 66-78
    Hu Jing, Tung Wenwen, Gao Jianbo. 2006. Detection of low observable targets within sea clutter by structure function based multifractal analysis. IEEE Trans Antennas Propag, 54(1): 136-143
    Kantelhardt J W, Koscielny-Bunde E, Rego H H A, et al. 2001. Detecting long-range correlations with detrended fluctuation analysis. Physica A, 295(3): 441-454
    Mandelbrot B B, 1983. The Fractal Geometry of Nature, Freeman, New York.
    Peng C K, Buldyrev S V, Havlin S, et al. 1994. Mosaic organization of DNA nucleotides. Phys Rev E, 49: 1685-1689
    Penzel T, Kantelhardt J W, Grote L, et al. 2003. Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea. IEEE Trans Biomed Eng, 50(10): 1143-1151
    Poirier J R, Aubert H, Jaggard D L. 2009. Lacunarity of rough surfaces from the wavelet analysis of scattering data. IEEE Trans Antennas Propag, 57(7): 2130-2136
    Pournejatian N M, Nayebi M M. 2012. Fractal-multiresolution based detection of targets within sea clutter. Electronics Letters, 48(6): 345-347
    Salvesen N, Tuck E O, Faltinsen O. 1971. Ship Motions and Sea Loads. Oslo: Det norske Veritas
    Taqqu M S, Teverovsky V T, Willinger W. 1995. Estimators for long-range dependence: an empirical study. Fractals, 3(4): 785-798
    Vicen-Bueno R, Carrasco-Alvarez R, Jarabo-Amores M P, et al. 2011. Ship detection by different data selection templates and multilayer perceptrons from incoherent maritime radar data. IET Radar Sonar Navig, 5(2): 144-154
    Xu X K. 2010. Low observable targets detection by joint fractal properties of sea clutter: an experimental study of IPIX OHGR datasets. IEEE Trans Antennas Propag, 58(4): 1425-1429
    Xu Zhan, Wan Jian Wwei, Li Gang, et al. 2012. Target detection within sea clutter based on multifractal detrended fluctuation analysis. Advanced Engineering Forum, 4: 259-262
  • 加载中
计量
  • 文章访问数:  1340
  • HTML全文浏览量:  68
  • PDF下载量:  1801
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-07-20
  • 修回日期:  2014-03-10

目录

    /

    返回文章
    返回