Underwater glider navigation error compensation using sea current data

Kim, Jongrae; Park, Yosup; Lee, Shin-Je; Yong-Kuk, Lee

doi:10.3182/20140824-6-za-1003.01508

Cited by 14 publications

(1 citation statement)

References 12 publications

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“…The accuracy of positioning, tracking and planning can be greatly improved with the help of relatively precise DAC.DAC also has some other applications: compared DACs obtained by gliders with the ocean currents provided by two different ocean models, to confirm the performance of the ocean This work is supported by National Natural Science Foundation of China, Grant No. 61233013 models [7]; utilize the real-time DAC to calibrate the error of the accelerometer mounted on underwater gliders [8];use DACs acquired by gliders to validate the currents observed by HF radar [9].…”

Section: Introductionmentioning

confidence: 99%

Estimation and forecast of depth-averaged ocean current using underwater gliders

Zhou

Wang

2016

OCEANS 2016 - Shanghai

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Abstract-Depth-averaged ocean current plays a significant role in marine scientific research, in particular, which is valuable for the navigation of underwater gliders. In this paper, we study the estimation and forecast of depth-averaged ocean current using underwater gliders. By considering three factors: the seawater density difference, the pressure hull compression deformation and the unstable depth intervals of a profile, we build a model for rapid calculation of underwater gliders' horizontal speed in order to improve the accuracy of the estimated depthaveraged ocean current. Then we adopt a novel machine learning model to forecast the depth-averaged ocean current of the next profile. Compared with two rough forecasting methods commonly used in engineering, our novel forecasting model has a better performance.

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Section: Introductionmentioning

confidence: 99%