• DocumentCode
    3570478
  • Title

    Research on RAIM algorithm based on temporal filtering

  • Author

    Liu Peng

  • Author_Institution
    Theor. Inst., Air force Eng. Univ., Xian, China
  • fYear
    2014
  • Firstpage
    32
  • Lastpage
    35
  • Abstract
    The satellite navigation receiver autonomous integrity monitoring (RAIM) is a credible evaluation technology of GNSS ephemeris information. It is one of the important indicators of the results of navigation and positioning. The widely used pseudorange domain "snapshot" RAIM algorithms are restricted to the pseudorange redundancy demand and greatly influenced by observation error problem. To detect and identify the gross error, a temporal domain “filtering” RAIM algorithm by using the particle filter algorithm is put forward. Compared with the traditional algorithm, this new algorithm has lower computing complexity and good real-time performance. Besides, it can obtain good results of satellite fault detection and ruled out. The experiments prove that the temporal RAIM algorithm can effectively make up for the pseudorange redundant requirement of traditional monitoring methods, but also can greatly improve the usability of the navigation and positioning results. This new algorithm can effectively improve the integrity of satellite navigation.
  • Keywords
    fault diagnosis; particle filtering (numerical methods); radio receivers; satellite navigation; GNSS ephemeris information; computing complexity; gross error; observation error problem; particle filter algorithm; pseudorange domain snapshot RAIM algorithms; pseudorange redundancy demand; satellite fault detection; satellite navigation receiver autonomous integrity monitoring; temporal domain filtering RAIM algorithm; Algorithm design and analysis; Fault detection; Global Positioning System; Monitoring; Particle filters; Satellites; Autonomous integrity monitoring; particle filter; temporal filtering algorithm; usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Science and Systems Engineering (CCSSE), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-6396-6
  • Type

    conf

  • DOI
    10.1109/CCSSE.2014.7224503
  • Filename
    7224503