• DocumentCode
    1480648
  • Title

    Failure detection approach applying to GPS autonomous integrity monitoring

  • Author

    Juang, J.C. ; Jang, C.-W.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    145
  • Issue
    6
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    342
  • Lastpage
    346
  • Abstract
    There has been a growing interest within the potential user community in applying GPS to a variety of high-precision navigation problems such as aircraft nonprecision approach, river and harbour navigation, real-time or kinematic surveying, etc. In view of more and more GPS applications, the reliability of GPS is at issue. This promotes the need for several proposed receiver autonomous integrity monitoring (RAIM), GPS integrity channel (GIG), and wide area augmentation system (WAAS) schemes. The authors propose an approach for autonomous GPS satellite failure detection. The method exploits total least squares (TLS) optimisation to achieve fault detection. The traditional least squares approach fails to address the change in the data matrix associated with GPS satellite constellation. This drawback is shown to be remedied by the total least squares method. The proposed method can further be extended to account for failure isolation in which failed GPS satellites are identified and hence excluded in positioning
  • Keywords
    Global Positioning System; least squares approximations; monitoring; optimisation; reliability; GPS autonomous integrity monitoring; GPS satellite constellation; RAIM; autonomous GPS satellite failure detection; data matrix; failure detection approach; failure isolation; high-precision navigation problems; receiver autonomous integrity monitoring; reliability; total least squares optimisation;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:19982432
  • Filename
    749522