Simulation of an Underwater Acoustic Communication Channel Characterized by Wind-Generated Surface Waves and Bubbles

被引:34
|
作者
Dol, Henry S. [1 ]
Colin, Mathieu E. G. D. [1 ]
Ainslie, Michael A. [1 ]
van Walree, Paul A. [2 ]
Janmaat, Jeroen [1 ]
机构
[1] Netherlands Org Appl Sci Res TNO, NL-2597 AK The Hague, Netherlands
[2] Norwegian Def Res Estab FFI, NO-3191 Horten, Norway
关键词
Acoustic channel simulation; underwater communication; wind-generated waves and bubbles; SHALLOW-WATER; DEEP-WATER; OCEAN; PROPAGATION; SCATTERING; FREQUENCIES; REFLECTION; PLUMES;
D O I
10.1109/JOE.2013.2278931
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Sea-surface scattering by wind-generated waves and bubbles is regarded to be the main nonplatform related cause of the time variability of shallow acoustic communication channels. Simulations for predicting the quality of acoustic communication links in such channels thus require adequate modeling of these dynamic sea-surface effects. For frequencies in the range of 1-4 kHz, there is an important effect of bubbles on sea-surface reflection loss due to refraction, which can be modeled with a modified sound-speed profile (SSP) accounting for the bubble void fraction in the surface layer. The bubble cloud then acts as an acoustic lens, enhancing the rough-surface scattering by the resulting upward refraction. It is shown here that, for frequencies in the considered range of 4-8 kHz, bubble extinction, including both the effects of bubble scattering and absorption, provides a significant additional contribution to the surface loss. Model-based channel simulations are performed by applying a ray tracer, together with a toolbox for generation of rough sea-surface evolutions. This practical simulation framework is demonstrated to provide realistic results for both stationary and mobile communication nodes by capturing specific features observed in experiments, such as time variability, fading reverberation tails, and wind-speed dependence of the Doppler power spectrum.
引用
收藏
页码:642 / 654
页数:13
相关论文
共 50 条
  • [41] Cost Function based Soft Feedback Iterative Channel Estimation in OFDM Underwater Acoustic Communication
    Qiao, Gang
    Babar, Zeeshan
    Ma, Lu
    Li, Xue
    INFOCOMMUNICATIONS JOURNAL, 2019, 11 (01): : 29 - 37
  • [42] Model-Based Signal Subspace Channel Tracking for Correlated Underwater Acoustic Communication Channels
    Huang, S. H.
    Tsao, Jenho
    Yang, T. C.
    Cheng, Sheng-Wen
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2014, 39 (02) : 343 - 356
  • [43] Analysis of a fixed source-to-receiver underwater acoustic communication channel parameters in shallow water
    Bae, Minja
    Park, Jihyun
    Yoon, Jong Rak
    JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2019, 38 (05): : 494 - 510
  • [44] Compensating for Source Depth Change and Observing Surface Waves Using Underwater Communication Signals
    Ijaz, Salman
    Silva, Antonio
    Jesus, Sergio. M.
    2010 FOURTH INTERNATIONAL CONFERENCE ON SENSOR TECHNOLOGIES AND APPLICATIONS (SENSORCOMM), 2008, : 462 - 467
  • [45] Quantification of Bolt Tension by Surface Acoustic Waves: An Experimentally Verified Simulation Study
    Alhazmi, Hani
    Guldiken, Rasim
    ACOUSTICS, 2019, 1 (04): : 794 - 807
  • [46] An integrated method for material properties characterization based on pulsed laser generated surface acoustic waves
    Orphanos, Yannis
    Dimitriou, Vasilis
    Kaselouris, Evaggelos
    Bakarezos, Efthimios
    Vainos, Nikolaos
    Tatarakis, Michael
    Papadogiannis, Nektarios A.
    MICROELECTRONIC ENGINEERING, 2013, 112 : 249 - 254
  • [47] Chip-Interleaved Multiple Access for Underwater Acoustic Communication and Its Performance Evaluation in Propagation Simulation
    Ebihara, Tadashi
    Mizutani, Koichi
    Wakatsuki, Naoto
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2009, 48 (11)
  • [48] Deep Reinforcement Learning-Based Adaptive Modulation for Underwater Acoustic Communication with Outdated Channel State Information
    Zhang, Yuzhi
    Zhu, Jingru
    Wang, Haiyan
    Shen, Xiaohong
    Wang, Bin
    Dong, Yuan
    REMOTE SENSING, 2022, 14 (16)
  • [49] Investigation of surface fluctuation effects on the spectral null of Rg waves generated by CLVD source with Spectral Element Method simulation
    Xu Heng-Lei
    Jin Ping
    Ni Si-Dao
    Liu Wen-Xue
    Wang Hong-Chun
    Li Xin
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2011, 54 (11): : 2831 - 2837
  • [50] The Channel Impulse Response of SIMO Underwater Optical Wireless Communication link based on Monte Carlo Simulation
    Majlesein, Behnaz
    Gholami, Asghar
    Ghassemlooy, Zabih
    2019 2ND WEST ASIAN COLLOQUIUM ON OPTICAL WIRELESS COMMUNICATIONS (WACOWC), 2019, : 69 - 73