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A bionic point-source polarisation sensor applied to underwater orientation

Published online by Cambridge University Press:  04 May 2021

Teng Zhang ,
Jian Yang ,
Lei Guo ,
Pengwei Hu ,
Xin Liu ,
Panpan Huang  and
Chenliang Wang
Teng Zhang
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.
Jian Yang*
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China. Hangzhou Innovation Institute, Beihang University, Hangzhou, China.
Lei Guo
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China. Hangzhou Innovation Institute, Beihang University, Hangzhou, China.
Pengwei Hu
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.
Xin Liu
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.
Panpan Huang
Affiliation:
Hangzhou Innovation Institute, Beihang University, Hangzhou, China.
Chenliang Wang
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China. Key Laboratory of Big Data-Based Precision Medicine, Ministry of Industry and Information Technology, Beihang University, Beijing, China
*
*Corresponding author. E-mail: jyang_buaa@buaa.edu.cn
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Abstract

With the characteristics of full autonomy and no accumulated errors, polarisation navigation shows tremendous prospects in underwater scenarios. In this paper, inspired by the polarisation vision of aquatic organisms, a novel point-source polarisation sensor with high spectral adaptability (400 nm–760 nm) is designed for underwater orientation. To enhance the environmental applicability of the underwater polarisation sensor, a novel sensor model based on the underwater light intensity attenuation coefficient and optical coupling coefficient is established. In addition, concerned with the influence of light intensity uncertainty on sensor performance underwater, an antagonistic polarisation algorithm is adopted for the first time, to improve the accuracy of angle of polarisation and degree of polarisation in the low signal-to-noise ratio environment underwater. Finally, indoor and outdoor experiments are carried out to evaluate the performance of the designed polarisation sensor. The results show that the designed point-source polarisation sensor can acquire polarised light and be used for heading determination underwater.

Keywords

sensormodellinganimal navigationunderwater navigation
Type
Research Article
Information
The Journal of Navigation , Volume 74 , Issue 5 , September 2021 , pp. 1057 - 1072
Copyright
Copyright © The Royal Institute of Navigation 2021

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