Paper
6 August 2023 Research on calibration method of one-dimensional marine LDV
Na Gao, Wenwu Zhao, Yunong Xu, Guangxin Cheng
Author Affiliations +
Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 127811F (2023) https://doi.org/10.1117/12.2687365
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China
Abstract
Aiming at the problem that the combined navigation accuracy of marine Strapdown Inertial Navigation System (SINS) and Laser Doppler Velocimetry (LDV) is limited by the calibration accuracy of LDV, a calibration method of LDV for marine was proposed. Firstly, the working principle of LDV in marine integrated navigation system is analyzed, and then the error model of 1D LDV is established. Then, starting from the calibration method of LDV in land integrated navigation system, the calibration method of LDV in marine integrated navigation system is explored. The mean value method is proposed to estimate the velocity of water flow in the frame alignment stage, and then parameters analytical calibration and filtering calibration are carried out for marine LDV. In the filtering calibration stage, a velocity correction filtering calibration method based on DGPS is proposed. The influence of the change of water velocity on the calibration results is avoided. Finally, simulation experiments are carried out to verify the feasibility of the calibration method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Na Gao, Wenwu Zhao, Yunong Xu, and Guangxin Cheng "Research on calibration method of one-dimensional marine LDV", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 127811F (6 August 2023); https://doi.org/10.1117/12.2687365
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KEYWORDS
Calibration

Laser Doppler velocimetry

Tunable filters

Water

Navigation systems

Oceanography

Matrices

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