• 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