An automated framework for long-range acoustic positioning of autonomous underwater vehicles

被引:4
|
作者
Graupe, Cristian [1 ]
Van Uffelen, Lora J. [1 ]
Worcester, Peter F. [2 ]
Dzieciuch, Matthew A. [2 ]
Howe, Bruce M. [3 ]
机构
[1] Univ Rhode Isl, Dept Ocean Engn, Narragansett, RI 02882 USA
[2] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
[3] Univ Hawaii, Dept Ocean & Resources Engn, Honolulu, HI 96822 USA
关键词
PHILIPPINE SEA; OCEAN; TOMOGRAPHY; PROPAGATION; ARRIVALS; TRACKING; SIGNALS; SOUND;
D O I
10.1121/10.0013830
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
An automated method was developed to align underwater acoustic receptions at various depths and ranges to a single reference prediction of long range acoustic arrival structure as it evolves with range in order to determine source-receiver range. Acoustic receptions collected by four autonomous underwater vehicles deployed in the Philippine Sea as part of an ocean acoustic propagation experiment were used to demonstrate the method. The arrivals were measured in the upper 1000 m of the ocean at ranges up to 700 km from five moored, low frequency broadband acoustic tomography sources. Acoustic arrival time structure for pulse compressed signals at long ranges is relatively stable, yet real ocean variability presents challenges in acoustic arrival matching. The automated method takes advantage of simple projections of the measured structure onto the model space that represents all possible pairings of measured peaks to predicted eigenrays and minimizes the average travel-time offset across selected pairings. Compared to ranging results obtained by manual acoustic arrival matching, 93% of the automatically-obtained range estimates were within 75 m of the manually-obtained range estimates. Least squares residuals from positioning estimates using the automatically-obtained ranges with a fault detection scheme were 55 m root-mean-square. (C) 2022 Acoustical Society of America.
引用
收藏
页码:1615 / 1626
页数:12
相关论文
共 36 条
  • [1] Long-Range Underwater Acoustic Channel Estimation
    Jiang, Weihua
    Diamant, Roee
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (09) : 6267 - 6282
  • [2] Analysis and Evaluation of the Positioning of Autonomous Underwater Vehicles Using Acoustic Signals
    Carrera, Enrique V.
    Paredes, Manolo
    DEVELOPMENTS AND ADVANCES IN DEFENSE AND SECURITY, 2020, 152 : 411 - 421
  • [3] Beam Forming Property of Coded Acoustic Signal for Long-Range Acoustic Navigation of a Cruising Autonomous Underwater Vehicle
    Watanabe, Yoshitaka
    Ochi, Hiroshi
    Shimura, Takuya
    Hattori, Takehito
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2010, 49 (07)
  • [4] Means and Methods for Hydrological-Acoustic Support of High-Precision Long-Range Positioning of Underwater Objects
    Morgunov, Yu. N.
    Golov, A. A.
    Kamenev, S. I.
    Matvienko, Yu. V.
    ACOUSTICAL PHYSICS, 2019, 65 (06) : 711 - 715
  • [5] Autonomous Tracking of Salinity-Intrusion Fronts by a Long-Range Autonomous Underwater Vehicle
    Zhang, Yanwu
    Yoder, Noa
    Kieft, Brian
    Kukulya, Amy
    Hobson, Brett W.
    Ryan, Svenja
    Gawarkiewicz, Glen G.
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2022, 47 (04) : 950 - 958
  • [6] Influence of Imperfect Internal Waves on Long-Range Underwater Acoustic Propagation
    Andreeva, T. A.
    Durgin, W. W.
    Wojcik, S. E.
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2010, 5 (01): : 1 - 4
  • [7] Adaptive Zigzag Mapping of a Patchy Field by a Long-Range Autonomous Underwater Vehicle
    Zhang, Yanwu
    Hobson, Brett W.
    Kieft, Brian
    Godin, Michael A.
    Ravens, Thomas
    Ulmgren, Michael
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2024, 49 (02) : 403 - 415
  • [8] Enabling Long-Range Underwater Backscatter via Van Atta Acoustic Networks
    Eid, Aline
    Rademacher, Jack
    Akbar, Waleed
    Wang, Purui
    Allam, Ahmed
    Adib, Fadel
    PROCEEDINGS OF THE 2023 ACM SIGCOMM 2023 CONFERENCE, SIGCOMM 2023, 2023, : 1 - 19
  • [9] A Wireless Autonomous Real-Time Underwater Acoustic Positioning System
    Manicacci, Francois-Marie
    Mourier, Johann
    Babatounde, Chabi
    Garcia, Jessica
    Broutta, Mickael
    Gualtieri, Jean-Sebastien
    Aiello, Antoine
    SENSORS, 2022, 22 (21)
  • [10] Using a long-range autonomous underwater vehicle to find and sample harmful algal blooms in Lake Erie
    Zhang, Yanwu
    Kieft, Brian
    Hobson, Brett W.
    Raanan, Ben-Yair
    Ussler III, William
    Preston, Christina M.
    Errera, Reagan M.
    Den Uyl, Paul A.
    Woude, Andrea Vander
    Doucette, Gregory J.
    Ruberg, Steven A.
    Goodwin, Kelly D.
    Birch, James M.
    Scholin, Christopher A.
    LIMNOLOGY AND OCEANOGRAPHY-METHODS, 2024, 22 (07): : 473 - 483