Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-16T23:46:10.840Z Has data issue: false hasContentIssue false

A new underwater positioning model based on average sound speed

Published online by Cambridge University Press:  20 May 2021

Yixu Liu
Affiliation:
Shandong University of Science and Technology, Qingdao, China.
Xiushan Lu
Affiliation:
Shandong University of Science and Technology, Qingdao, China.
Shuqiang Xue
Affiliation:
Chinese Academy of Surveying and Mapping, Beijing, China
Shengli Wang*
Affiliation:
Shandong University of Science and Technology, Qingdao, China.
*
*Corresponding author. E-mail: shlwang@sdust.edu.cn

Abstract

The layout of seafloor datum points is the key to constructing the seafloor geodetic datum network, and a reliable underwater positioning model is the prerequisite for achieving precise deployment of the datum points. The traditional average sound speed positioning model is generally adopted in underwater positioning due to its simple and efficient algorithm, but it is sensitive to incident angle related errors, which lead to unreliable positioning results. Based on the relationship between incident angle and sound speed, the sound speed function model considering the incident angle has been established. Results show that the accuracy of positioning is easily affected by errors related to the incident angle; the new average sound speed correction model based on the incident angle proposed in this paper is used to significantly improve the underwater positioning accuracy.

Type
Research Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cai, Y., and Cheng, P., (2012). Sound velocity problem of undersea positioning in up ocean. Remote Sensing Information, 027(006), 39.Google Scholar
Cai, Y. H., Cheng, P. F., Wen, H. J., Yang, X. X. and Zhang, J. D. (2014). Study on global sound speed field of seawater using ARGO profile data. Remote Sensing Information, 29(5), 1319.Google Scholar
Fujita, M., Ishikawa, T., Mochizuki, M., Sato, M., Toyama, S. I., Katayama, M., Matsumoto, Y., Yabuki, T. and Asada, A. (2006). GPS/acoustic seafloor geodetic observation: Method of data analysis and its application. Earth, Planets and Space, 58(3), 265275.CrossRefGoogle Scholar
Jamshidi, S. and Abu Bakar, M. N. (2010). Temperature, salinity and density measurements in the coastal waters of Rudsar, south Caspian Sea.Discover the World's Research, 1(1), 2736.Google Scholar
Li, S., (2015). Research on the Method of Sound Speed Correction in Underwater Acoustic Positioning. Qingdao, China: China University of Petroleum.Google Scholar
Liu, Y., Xue, S., Qu, G., , Lu, X. and Qi, K. (2020). Influence of the ray elevation angle on seafloor positioning precision in the context of acoustic ray tracing algorithm. Applied Ocean Research, 105, 102403.CrossRefGoogle Scholar
Munk, W. H. (1974). Sound channel in an exponentially stratified ocean, with application to SOFAR. Journal of the Acoustical Society of America, 55(2), 220226.CrossRefGoogle Scholar
Nie, Z., Wang, Z. and Li, S. (2015). Comparison of sound speed correction methods in the underwater acoustic positioning. Marine Science Bulletin, 34(4), 6670.Google Scholar
Qi, K., Qu, G. Q., Xue, S. Q., Xu, T. H. and Su, X. Q. (2019). Analytical optimization on GNSS buoy array for underwater positioning. Acta Oceanologica Sinica. (7), 137143.CrossRefGoogle Scholar
Sakic, P., Ballu, V., Crawford, W. C. and Woeppelmann, G. (2018). Acoustic ray tracing comparisons in the context of geodetic precise off-shore positioning experiments. Marine Geodesy, 41(4), 315330.CrossRefGoogle Scholar
Su, L., Ma, L., Song, W. H., Guo, S. M. and Lu, L. C. (2015). Influences of sound speed profile on the source localization of different depths. Acta Physica Chinese Edition, 64(2), 24302-024302.Google Scholar
Sun, W., (2007). Studies on Underwater Acoustic Localization Technique in Shallow Water and Its Application. Qingdao, China: Ocean University of China.Google Scholar
Vincent, H. T. and Hu, S. L. J. (2000). Generalized Multivariate Error Propagation for Zero Memory Nonlinear Systems. Proceedings of 8th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability.Google Scholar
Wang, Y., Li, W., Liang, G. and Fu, J. (2009). The Influence and Revision of Ray Bending in Synchronous Underwater Acoustic Positioning System. Proceedings of the 2009 Youth Academic Conference CYCA’09 of the Acoustic Society of China.Google Scholar
Wang, Z., Li, S., Nie, Z., Wang, Y. and Wu, S. (2016). A large incidence angle ray-tracing method for underwater acoustic positioning. Geomatics and Information Science of Wuhan University, 41(10), 14041408.Google Scholar
Wu, Y., (2013). Study on Theory and Method of Precise LBL Positioning and Development of Positioning Software System. Wuhan, China: Wuhan University.Google Scholar
Xue, S., and Yang, Y., (2014). Nested cones for single-point-positioning configuration with minimal GDOP. Geomatics & Information Science of Wuhan University, 39(11), 13691374.Google Scholar
Xue, S., , Dang, Y., and Zhang C., (2006). Research on setting 3D network of underwater DGPS. Science of Surveying and Mapping, 31(4), 2324.Google Scholar
Yang, Y., Liu, Y., Sun, D., Xu, T. and Zeng, A. (2020). Seafloor geodetic network establishment and key technologies. Science China Earth Science, 63, 11881198.CrossRefGoogle Scholar
Zhang, B., (2019). Research on High Precision Positioning Algorithm for Underwater Acoustics. Chang'an, China: Chang'an University.Google Scholar
Zhao, J, . and Liang, W, . (2019). Some key points of submarine control network measurement and calculation. Acta Geodaetica et Cartographica Sinica, 48(9), 11971202.Google Scholar
Zhao, J., and Liu, J, . (2008). Multi-Beam Bathymetry and Image Data Processing. Wuhan, China: Wuhan University Press.Google Scholar
Zhao, J., , Li, J., and Li, M., (2009). Progress and future trend of hydrographic surveting and charting. Journal of Geomatics, 34(4), 2527.Google Scholar
Zhao, D., Liu, X., Zhao, H. and Wang, C. (2020). Seamless integration of polarization compass and inertial navigation data with a self-learning multi-rate residual correction algorithm. Measurement, 170(3), 18694.Google Scholar
Zhao, S., , Wang, Z., and Liu, H., (2018). Investigation on underwater positioning stochastic model based on sound ray incidence angle. Acta Geodaetica et Cartographica Sinica, 77, 6977.Google Scholar