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CLC number: TP242.6; TP273
On-line Access: 2020-05-18
Received: 2019-10-11
Revision Accepted: 2020-01-14
Crosschecked: 2020-04-01
Cited: 0
Clicked: 5564
Citations: Bibtex RefMan EndNote GB/T7714
Terrain matching localization for hybrid underwater vehicle in the Challenger Deep of the Mariana Trench
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Jian Wang, Yuan-gui Tang, Chuan-xu Chen, Ji-xu Li, Cong Chen, Ai-qun Zhang, Yi-ping Li, Shuo Li. Terrain matching localization for hybrid underwater vehicle in the Challenger Deep of the Mariana Trench[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(5): 749-759.
@article{title="Terrain matching localization for hybrid underwater vehicle in the Challenger Deep of the Mariana Trench",
author="Jian Wang, Yuan-gui Tang, Chuan-xu Chen, Ji-xu Li, Cong Chen, Ai-qun Zhang, Yi-ping Li, Shuo Li",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="21",
number="5",
pages="749-759",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900556"
}
%0 Journal Article
%T Terrain matching localization for hybrid underwater vehicle in the Challenger Deep of the Mariana Trench
%A Jian Wang
%A Yuan-gui Tang
%A Chuan-xu Chen
%A Ji-xu Li
%A Cong Chen
%A Ai-qun Zhang
%A Yi-ping Li
%A Shuo Li
%J Frontiers of Information Technology & Electronic Engineering
%V 21
%N 5
%P 749-759
%@ 2095-9184
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900556
TY - JOUR
T1 - Terrain matching localization for hybrid underwater vehicle in the Challenger Deep of the Mariana Trench
A1 - Jian Wang
A1 - Yuan-gui Tang
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A1 - Ji-xu Li
A1 - Cong Chen
A1 - Ai-qun Zhang
A1 - Yi-ping Li
A1 - Shuo Li
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
IS - 5
SP - 749
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1900556
Abstract: The maximum ocean depth so far reported is about 11 000 m, and is located in the mariana Trench in the Western Pacific Ocean. The hybrid unmanned underwater vehicle, Haidou, is developed to perform scientific survey at the deepest parts of the Earth oceans. For vehicles working at the full-ocean depth, acoustic positioning is the most effective and popular method. The 11 000 m class acoustic positioning system is relatively massive and complex, and it requires specialized research vessels equipped with compatible acoustic instruments. As a compact testbed platform, it is impractical for Haidou to carry an LBL/USBL beacon with its large volume and weight. During the descent to about 11 000 m, horizontal drift could not be eliminated because of the hydrodynamics and uncertain ocean currents in the sea trials. The maximum depth recorded by Haidou is 10 905 m, and determining the precise location of the deepest point is challenging. With the bathymetric map produced by a multibeam sonar, the terrain contour matching (TERCOM) method is adopted for terrain matching localization. TERCOM is stable in providing an accurate position because of its insensitivity to the initial position errors. The final matching results show the best estimate of location in the reference terrain map.
[1]Bergem O, Andersen CS, Christensen HI, 1993. Using match uncertainty in the Kalman filter for a sonar based positioning system. Proc 8th Int Symp on Unmanned Untethered Submersible Technology, p.405.
[2]Bowen AD, Yoerger DR, Taylor C, et al., 2009. Field trials of the Nereus hybrid underwater robotic vehicle in the Challenger Deep of the Mariana Trench. OCEANS, p.1- 10.
[3]Fofonoff NP, Millard RC, 1983. Algorithms for computation of fundamental properties of seawater. UNESCO Tech Pap Mar Sci, 44:1-53.
[4]Gardner JV, Armstrong AA, Calder BR, et al., 2014. So, how deep is the Mariana Trench? Mar Geod, 37(1):1-13.
[5]Han YR, Wang B, Deng ZH, et al., 2017. A mismatch diagnostic method for TERCOM-based underwater gravity- aided navigation. IEEE Sens J, 17(9):2880-2888.
[6]Kyo M, Hiyazaki E, Tsukioka S, et al., 1995. The sea trial of “KAIKO”, the full ocean depth research ROV. OCEANS, p.1991-1996.
[7]Li S, Zeng J, Wang Y, 2011. Navigation under the arctic ice by autonomous & remotely operated underwater vehicle. Robot, 33(4):509-512 (in Chinese).
[8]McDougall TJ, Barker PM, 2011. Getting Started with TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox. SCOR/IAPSO WG127, ISBN 978-0-646- 55621-5.
[9]Nakajoh H, Murashima T, Sugimoto F, 2018. Development of full depth fiber optic cable ROV (UROV11K) system. OCEANS, p.1-8.
[10]Sea-Bird Electronics Inc., 2007. SEASOFT-Win32: SBE Data Processing. https://www.seabird.com/asset-get.download.jsa?code=251446
[11]Tang YG, Wang J, Lu Y, et al., 2019. Parametric design method and experimental research on Haidou full-depth ocean autonomous and remotely-operated vehicle. Robot, 41(6):697-705 (in Chinese).
[12]Wang HB, Xu XS, Zhang T, 2018. Multipath parallel ICCP underwater terrain matching algorithm based on multibeam bathymetric data. IEEE Access, 6:48708- 48715.
[13]Wang KD, Yong Y, 2010. Influence of application conditions on terrain-aided navigation. Proc 8th World Congress on Intelligent Control and Automation, p.391-396.
[14]Yuan GN, Zhang HW, Yuan KF, et al., 2012. Improved SITAN algorithm in the application of aided inertial navigation. Int Conf on Measurement, Information and Control, p.922-926.
[15]Zhao L, Gao N, Huang BQ, et al., 2015. A novel terrain-aided navigation algorithm combined with the TERCOM algorithm and particle filter. IEEE Sens J, 15(2):1124-1131.
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