Bayesian geoacoustic inversion in shallow water with vertical coherence of ship-radiated noise

被引:2
|
作者
Liu, Hong [1 ]
Wang, Bin [2 ]
Fan, Jun [2 ]
Yang, Kunde [3 ]
机构
[1] Natl Univ Def Technol, Coll Meteorol & Oceanol, Changsha 410073, Hunan, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China
[3] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
基金
中国国家自然科学基金;
关键词
Ocean acoustics; Geoacoustic inversion; Bayesian method; Sediment parameter; Vertical coherence; AMBIENT NOISE; CROSS-CORRELATION;
D O I
10.1016/j.apacoust.2023.109390
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Spatial structure of underwater acoustic field depends strongly on the geoacoustic properties of the seabed. The geoacoustic parameters can be estimated using the spatial coherence dominated by a single broadband source. In this paper, geoacoustic inversion of a shallow water environment is carried out using the vertical coherence of ship-radiated noise at a close range. Data were measured in an experiment in the South China Sea, and the vertical coherence is extracted from a single hydrophone pair in the ver-tical line array. The closest point of the passing research ship approach is determined first, and then the broadband coherence curves are extracted as the input for the inversion algorithm. Due to the lack of an appropriate parametrization, the trans-dimensional inversion method combined with the auto-regressive error model is adopted in this paper. The inversion results show that the sound speed is the most sensitive, followed by the density, and then the attenuation coefficient is the least sensitive, which is consistent with previous works. The data error hypothesis is verified via a posterior examinations.(c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Research on Ship-radiated Noise Beat Tune Future
    Qiu, Jiaxing
    Zhang, Jingcheng
    2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 1, 2014, : 573 - 576
  • [22] DWSTr: a hybrid framework for ship-radiated noise recognition
    Wang, Yan
    Zhang, Hao
    Huang, Wei
    Zhou, Manli
    Gao, Yong
    An, Yuan
    Jiao, Huifeng
    FRONTIERS IN MARINE SCIENCE, 2024, 11
  • [23] A novel feature extraction method for ship-radiated noise
    Yang, Hong
    Li, Lu-lu
    Li, Guo-hui
    Guan, Qian-ru
    DEFENCE TECHNOLOGY, 2022, 18 (04) : 604 - 617
  • [24] A novel feature extraction method for ship-radiated noise
    Hong Yang
    Lu-lu Li
    Guo-hui Li
    Qian-ru Guan
    Defence Technology, 2022, 18 (04) : 604 - 617
  • [25] Bayesian Inversion for Geoacoustic Parameters in Shallow Sea
    Zheng, Guangxue
    Zhu, Hanhao
    Wang, Xiaohan
    Khan, Sartaj
    Li, Nansong
    Xue, Yangyang
    SENSORS, 2020, 20 (07)
  • [26] Statistical geoacoustic inversion from vertical correlation of shallow water reverberation
    GAO Wei WANG Ning WANG Haozhong(Department of Physics
    Chinese Journal of Acoustics, 2008, (04) : 368 - 377
  • [27] Geoacoustic inversion in shallow water by matching the vertical-particle-velocity
    TAN Peng
    SUN Mei
    QIN Jixing
    YANG Desen
    ChineseJournalofAcoustics, 2023, 42 (03) : 288 - 306
  • [28] Statistical geoacoustic inversion from vertical correlation of shallow water reverberation
    Department of Physics, Ocean University of China, Qingdao 266100, China
    Shengxue Xuebao, 2008, 2 (109-115): : 109 - 115
  • [29] Geoacoustic tomographic inversion in shallow water
    Tolstoy, A
    OCEANS'98 - CONFERENCE PROCEEDINGS, VOLS 1-3, 1998, : 1210 - 1213
  • [30] Neural network approach for automatic classification of ship-radiated noise
    Park, KC
    Lee, PH
    Park, JN
    Yoon, JR
    JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS BRIEF COMMUNICATIONS & REVIEW PAPERS, 2006, 45 (5B): : 4859 - 4861