Ultraviolet-visible light compass method based on local atmospheric polarization characteristics in adverse weather conditions

Yuyang Li, Xia Wang*, Yihua Pan, Leilei Li, Jiabin Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Bionic polarization navigation has attracted extensive attention because of its strong anti-interference performance and no accumulation of errors over time. However, very few studies have fully considered the influence of adverse weather conditions such as cloudy and overcast weather, which play a key role in navigation accuracy. Therefore, we propose an adaptive ultraviolet-visible light compass method based on local atmospheric polarization characteristics applicable to various weather conditions. The proposed method transforms the heading determination problem into a multiclassification problem by using a weather recognition technique. Ultraviolet detection is used to weaken the depolarization effect of cloud particles and to obtain more accurate skylight polarization patterns. Then, on the basis of screening effective data, the sun direction vector is calculated by using the electric vector direction and is finally combined with the astronomical calendar to achieve navigation. The experimental results confirm that, compared to the other methods, the designed algorithm can suppress the interference of clouds better and adapt to complex weather conditions.

Original languageEnglish
Pages (from-to)6853-6860
Number of pages8
JournalApplied Optics
Volume61
Issue number23
DOIs
Publication statusPublished - 10 Aug 2022

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