Ship recognition via its radiated sound: The fractal based approaches

被引:38
|
作者
Yang, S [1 ]
Li, ZS
Wang, XL
机构
[1] Nanjing Univ, State Key Lab Modern Acoust, Nanjing 210093, Peoples R China
[2] Nanjing Univ, Inst Acoust, Nanjing 210093, Peoples R China
[3] NW Polytech Univ, Natl Key Lab Underwater Informat Proc & Control, Xian 710072, Peoples R China
[4] NW Polytech Univ, Coll Marine Engn, Xian 710072, Peoples R China
来源
关键词
D O I
10.1121/1.1487840
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Due to the complexity of its radiated sound, ship recognition is difficult. Fractal approaches are proposed in this study, including fractal Brownian motion based analysis, fractal dimension analysis, and wavelet analysis, to augment existing feature extraction methods that are based on spectrum analysis. Experimental results show that fractal approaches are effective. When used to augment two traditional features, line and average spectra, fractal approaches led to better classification results. This implies that fractal approaches can capture some information not detected by traditional approaches alone. (C) 2002 Acoustical Society of America.
引用
收藏
页码:172 / 177
页数:6
相关论文
共 50 条
  • [1] Fractal Brownian motion model of ship radiated noise
    CHEN Xiangdong
    GAO Xiang
    LU Jiren(Dept. of Radio Eng.
    [J]. Chinese Journal of Acoustics, 1999, (01) : 10 - 18
  • [2] Recognition method of ship radiated noise based on VMD and improved CNN
    Ni J.
    Hu C.
    Zhao M.
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (05): : 74 - 82
  • [3] Vessel radiated noise recognition with fractal features
    Yang, S
    Li, ZS
    Wang, XL
    [J]. ELECTRONICS LETTERS, 2000, 36 (10) : 923 - 925
  • [4] Study on target recognition based on simulation model of ship radiated-noise
    Shi, Guang-Zhi
    Hu, Jun-Chuan
    [J]. Xitong Fangzhen Xuebao / Journal of System Simulation, 2006, 18 (05): : 1398 - 1401
  • [5] Variable-step multi-scale fractal dimension and its application to ship radiated noise
    Li, Yuxing
    Zhang, Shuai
    Liang, Lili
    [J]. OCEAN ENGINEERING, 2023, 286
  • [6] Dynamic recognition from ship-radiated noise
    LI Xungao (Naval Submarine Academy Qingdao 266071) FENG Xinxin GE Yi (Institute of Acoustics
    [J]. Chinese Journal of Acoustics, 2005, (04) : 312 - 322
  • [7] Experimental Assessment of Underwater Radiated Sound of Different Ship Types
    Jansen, H. W.
    de Jong, C. A. F.
    [J]. OCEANS 2015 - GENOVA, 2015,
  • [8] Ship classification using nonlinear features of radiated sound: An approach based on empirical mode decomposition
    Bao, Fei
    Li, Chen
    Wang, Xinlong
    Wang, Qingfu
    Du, Shuanping
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2010, 128 (01): : 206 - 214
  • [9] Simulation of Ship Radiated Noise Field in Deep Sea Based on Statistical Characteristics of Sound Source
    Zhang, Liang
    Meng, Chun Xia
    Zhang, Ming Wei
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND INTELLIGENT ROBOTICS (ICMIR-2019), 2020, 166 : 104 - 110
  • [10] Ship Radiated Noise Recognition Technology Based on ML-DS Decision Fusion
    Wang, Biao
    Wu, Chengxi
    Zhu, Yunan
    Zhang, Mingliang
    Li, Hanqiong
    Zhang, Wei
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021