期刊文献+

基于局部幅值统计的海杂波背景下小目标检测 被引量:3

Small target detection based on local backscattering amplitude statistics approach
下载PDF
导出
摘要 针对传统舰载雷达和岸基雷达很难检测出海杂波背景下小目标的现状,提出一种基于局部回波幅值统计的方法来检测海杂波背景下小目标。该算法基于数学统计思想:计算不同距离单元海杂波的幅值的最大值和标准偏差,发现距离单元含有小目标回波的最大幅值明显小于其它距离单元只含有海杂波回波的最大幅值,距离单元含有小目标回波的幅值的标准偏差明显大于距离单元只含有海杂波回波的幅值的标准偏差,因此可以在对小目标没有任何先验知识条件较准确地检测出海杂波背景下的小目标。实验证明,该算法是有效的。 Aiming at the present issue that small targets detection within sea clutter is very difficult for traditional shipborne radar and coast-sited radar, this paper presents a small targets detection method based on local backscattering amplitude statistics. This method is built on the mathematical statistics: calculating the maxima and stand deviation (STD) of backscattering amplitude of different range bins. We find that the maximum amplitude of the range bins hosting a small target (RBHST) is much smaller than that of other rang bins hosting only sea clutter (ORBHSC), and the STD of RBHST is much lager than that of ORBHSC. Upon this point, the small target within sea clutter can be detected without prior knowledge. The experiments indicate that this approach is valid.
出处 《中国惯性技术学报》 EI CSCD 2008年第5期571-576,共6页 Journal of Chinese Inertial Technology
关键词 海杂波 小目标检测 局部回波幅值统计 最大幅值 标准偏差 sea clutter small target detection local backscattering amplitude statistics maximum amplitude standard deviation
  • 相关文献

参考文献16

  • 1Jing H, Wenwen T, Gao J B. Detection of low observable targets within sea clutter by structure function based multifractal analysis[J]. IEEE Transaction on Antennas and Propagation, 2006, 54(1): 136-143.
  • 2Guedes S C, Cherneva Z, Antao E M. Steepness and asymmetry of the largest waves in storm sea states[J]. Ocean Engineering, 2004, 31: 1147-1167.
  • 3Conte E, Maio A D. Mitigation techniques for non-Gaussian sea clutter[J]. IEEE Journal of Oceanic Engineering, 2004, 29(2): 284-302.
  • 4Haykin S, Puthusserypady S. Chaotic dynamic of sea clutter[J]. Chaos, 1997: 7(4): 777-802.
  • 5Palmer A J, Kropfli R A. Signatures of deterministic chaos in radar sea clutter and ocean surface winds[J]. Chaos, 1995, 5(3): 613-616.
  • 6谭文,王耀南,周少武,刘祖润.混沌时间序列的模糊神经网络预测[J].物理学报,2003,52(4):795-801. 被引量:38
  • 7Hennessey G, Leung H, Drosopoulos A, et al. Sea-clutter modeling using a radial-basis-function neural network[J]. IEEE Journal of Oceanic Engineering, 2001, 26(6): 534-542.
  • 8Unsworth C P, Cowper M R, Mclaughlin S, et al. Re-examining the nature of radar sea clutter[J]. IEE Proceedings-Radar Sonar and Navigation, 2002, 149(3): 105-114.
  • 9Mcdonald M, Damini A. Limitations of nonlinear chaotic dynamics in predicting sea clutter returns[J], lEE Proceedings-Radar Sonar and Navigation, 2004, 151(2): 105-113.
  • 10Gao J B, Hwang S K, Kang C Z, et al. Can sea clutter and indoor radio propagation be modeled as strange attractors?[C]// The 7th Experimental Chaos Conference: AIP Conference Proceedings, 2003, 676: 154-161.

二级参考文献16

  • 1王赤,田茂,周维,聂鑫.探地雷达回波信号预处理方法的研究与应用[J].计算机测量与控制,2005,13(3):259-261. 被引量:9
  • 2[1]Lin C T and Lee C S G 1991 IEEE Trans. Comput. 40 1320
  • 3[2]Uehara K and Fujise M 1991 IEEE Trans. Fuzzy Systems 1 205
  • 4[3]Kim J and Kasabov N 1999 Neural Networks 12 1301
  • 5[4]Li Z H et al 2001 Chin.Phys. 10 494
  • 6[5]Chen S H et al 2002 Chin.Phys. 11 233
  • 7[8]Zhang J S et al 2001 Acta Phys. Sin. 50 1248(in Chinese)[张家树等 2001 物理学报 50 1248]
  • 8[9]Wang L X and Mendel J M 1992 IEEE Trans. System, Man and Cybernetics 22 1414
  • 9[10]Mackey M C and Glass L 1977 Science 197 287
  • 10[11]Farmer J D 1982 Physica D 3 366

共引文献55

同被引文献29

引证文献3

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部