• DocumentCode
    3299459
  • Title

    Quality control in integrated navigation systems

  • Author

    Teunissen, P.J.G.

  • Author_Institution
    Dept. of Geodesy, Delft Univ. of Technol., Netherlands
  • fYear
    1990
  • fDate
    20-23 Mar 1990
  • Firstpage
    158
  • Lastpage
    165
  • Abstract
    A recursive testing procedure for use in integrated navigation systems is introduced. It can be used in conjunction with the Kalman filter algorithm. Diagnostic tools for inferring the detectability of particular model errors are given. The testing procedure consists of three steps: detection, identification, and adaptation. It can accommodate model errors in both the measurement model and the dynamic model of the integrated navigation system. The tests proposed are optimal in the uniformly-most-powerful-invariant sense. The procedure can accommodate slippages in the mean of the predicted residuals caused by outliers in the data, sensor failures, or switches in the dynamic model. The method is therefore also applicable to the important problem of GPS (Global Positioning System) failure detection and integrity checking
  • Keywords
    Kalman filters; automatic testing; electronic equipment testing; error detection; fault location; radionavigation; satellite relay systems; Global Positioning System; Kalman filter algorithm; adaptation; detectability; detection; dynamic model; failure detection; identification; integrated navigation systems; integrity checking; measurement model; model errors; quality control; recursive testing; slippages; Adaptation model; Filtering; Filters; Geodesy; Geophysics computing; Mathematical model; Navigation; Quality control; Real time systems; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position Location and Navigation Symposium, 1990. Record. The 1990's - A Decade of Excellence in the Navigation Sciences. IEEE PLANS '90., IEEE
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/PLANS.1990.66172
  • Filename
    66172