Wave Interference Suppression for Underwater Polarization Navigation

Underwater polarization navigation has enormous potential due to the good performance of anti-interference and no accumulated error. However, during underwater navigation it was found that polarization information is highly susceptible to wave interference. In response to the issue where images collected by underwater vehicles during polarization light navigation are affected by dynamic wave disturbances. This paper proposes a method based on pseudo-color mapping and GANs for suppression of wave disturbances interference. The simulation results indicate that the denoised images exhibit significant advantages in terms of the PSNR, MSE, and SSIM indicators. Consequently, this approach significantly overcomes the interference of waves and further enhances the feasibility of biomimetic polarization navigation for underwater applications.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10632898
Citations
1
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.34
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Wave Interference Suppression for Underwater Polarization Navigation

Pengli Xu, Wei Gao, Kefei Yuan, Ya Zhang et al.
1 citations
Underwater Vehicles and Communication Systems
0.34
article

Wave Interference Suppression for Underwater Polarization Navigation

Pengli Xu, Wei Gao, Kefei Yuan, Ya Zhang, Lixin Zhu, Shiwei Fan
article en
1 citations

Abstract

Underwater polarization navigation has enormous potential due to the good performance of anti-interference and no accumulated error. However, during underwater navigation it was found that polarization information is highly susceptible to wave interference. In response to the issue where images collected by underwater vehicles during polarization light navigation are affected by dynamic wave disturbances. This paper proposes a method based on pseudo-color mapping and GANs for suppression of wave disturbances interference. The simulation results indicate that the denoised images exhibit significant advantages in terms of the PSNR, MSE, and SSIM indicators. Consequently, this approach significantly overcomes the interference of waves and further enhances the feasibility of biomimetic polarization navigation for underwater applications.

Harbin Institute of Technology (CN), Wuhan Ship Development & Design Institute (CN)
Openalex Percentile: Top 42%
Underwater Vehicles and Communication Systems
0.34
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