DocumentCode
1762290
Title
Polarized Skylight Pattern-Based Approach to Attitude Determination
Author
Ren Jianbin ; Liu Jun ; Tang Jun ; Wang Fei
Author_Institution
Key Lab. of Instrum. Sci. & Dynamic Meas., North Univ. of China, Taiyuan, China
Volume
15
Issue
9
fYear
2015
fDate
Sept. 2015
Firstpage
4917
Lastpage
4927
Abstract
Polarized skylight pattern is one of the earth´s natural traits, which can provide compass cues for some insects´ navigation. Decades of behavioral and anatomic studies of the mechanisms that insects employed have found that some insects can home unfailingly through detecting the polarized skylight with their sophisticated compound eyes. Largely counting on the natural skylight, their navigation is immune to the interference of external environment and shows advantages in stability and accuracy over the conventional navigating devices, which sheds new light on the detection of skylight polarization pattern for attitude determination since it is the first concern for aerial vehicles to achieve accurate navigation. In this paper, we take the biological research as the guidance to simulate and detect the real-time polarized skylight pattern. In addition, with the polarization data, we are trying to explore a new algorithm to solve the three attitude angles, and test the validity of the algorithm with actual simulation experiment, just aiming at the purpose of finding an unambiguous way of attitude determination.
Keywords
aerospace control; space vehicle navigation; aerial vehicles; attitude angles; attitude determination; biological research; compass cues; compound eyes; earth natural traits; insect navigation; navigating devices; polarization data; polarized skylight detection; polarized skylight pattern-based approach; Azimuth; Insects; Navigation; Position measurement; Sensors; Sun; Vehicles; Aerospace control; Aircraft navigation; Attitude control; aircraft navigation; attitude control;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2015.2412131
Filename
7059212
Link To Document