scholarly journals Temporal change of km-scale underwater sound speed structure and GNSS-A positioning accuracy

2022 ◽  
Author(s):  
Yusuke Yokota ◽  
Shun-ichi Watanabe ◽  
Tadashi Ishikawa ◽  
Yuto Nakamura
Keyword(s):  
Sound Speed ◽  
Temporal Change ◽  
Underwater Sound ◽  
Positioning Accuracy ◽  
Sound Speed Structure

Collaborating Ray Tracing and AI Model for AUV-Assisted 3-D Underwater Sound-Speed Inversion

2021 ◽  
pp. 1-19
Author(s):  
Wei Huang ◽  
Mingliu Liu ◽  
Deshi Li ◽  
Feng Yin ◽  
Haole Chen ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Sound Speed ◽  
Underwater Sound

A new underwater positioning model based on average sound speed

2021 ◽  
pp. 1-17
Author(s):  
Yixu Liu ◽  
Xiushan Lu ◽  
Shuqiang Xue ◽  
Shengli Wang
Keyword(s):  
Efficient Algorithm ◽  
Sound Speed ◽  
Incident Angle ◽  
Function Model ◽  
Positioning Accuracy ◽  
Correction Model ◽  
Model Based ◽  
Underwater Positioning ◽  
Speed Function ◽  
The Relationship

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.

Observations of thermohaline sound speed structure in the Beaufort Sea in the summer of 2015

2015 ◽  
Vol 138 (3) ◽  
pp. 1743-1743
Author(s):  
Dominic DiMaggio ◽  
Annalise Pearson ◽  
John A. Colosi
Keyword(s):  
Sound Speed ◽  
Beaufort Sea ◽  
Sound Speed Structure

scholarly journals GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure

2020 ◽  
Vol 8 ◽  
Author(s):  
Shun-ichi Watanabe ◽  
Tadashi Ishikawa ◽  
Yusuke Yokota ◽  
Yuto Nakamura
Keyword(s):  
Sound Speed ◽  
Empirical Bayes ◽  
Information Criterion ◽  
Satellite System ◽  
Observation Equation ◽  
Simultaneous Estimation ◽  
Acoustic Ranging ◽  
Observation Network ◽  
Sound Speed Structure ◽  
Global Navigation Satellite

Global Navigation Satellite System–Acoustic ranging combined seafloor geodetic technique (GNSS-A) has extended the geodetic observation network into the ocean. The key issue for analyzing the GNSS-A data is how to correct the effect of sound speed variation in the seawater. We constructed a generalized observation equation and developed a method to directly extract the gradient sound speed structure by introducing appropriate statistical properties in the observation equation, especially the data correlation term. In the proposed scheme, we calculate the posterior probability based on the empirical Bayes approach using the Akaike’s Bayesian Information Criterion for model selection. This approach enabled us to suppress the overfitting of sound speed variables and thus to extract simpler sound speed field and stable seafloor positions from the GNSS-A dataset. The proposed procedure is implemented in the Python-based software “GARPOS” (GNSS-Acoustic Ranging combined POsitioning Solver).

Sound speed structure monitoring of the Antarctic Ocean by new style float

2015 ◽  
Vol 137 (4) ◽  
pp. 2241-2241 ◽  
Author(s):  
Shinpei Gotoh ◽  
Toshio Tsuchiya ◽  
Yoshihisa Hiyoshi ◽  
Koichi Mizutani
Keyword(s):  
Sound Speed ◽  
Antarctic Ocean ◽  
Structure Monitoring ◽  
Sound Speed Structure ◽  
The Antarctic
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