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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

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