Title :
Quality control in integrated navigation systems
Author :
Teunissen, P.J.G.
Author_Institution :
Dept. of Geodesy, Delft Univ. of Technol., Netherlands
fDate :
7/1/1990 12:00:00 AM
Abstract :
Real-time estimation of parameter sin dynamic systems, which becomes increasingly important in the field of high-precision navigation, requires real-time testing of the models underlying the navigation system. A real-time recursive testing procedure than can be used in conjunction with the Kalman filter algorithm is presented, along with diagnostic tools for inferring the detectability of particular model errors. The testing procedure consists of detection, identification, and adaptation. It can accommodate model errors in the measurement model and dynamic model of the integrated navigation system and is optimal in the uniformly-most-powerful-invariant sense.<>
Keywords :
Kalman filters; automatic testing; parameter estimation; radionavigation; signal detection; GPS; Kalman filter algorithm; adaptation; detectability; dynamic model; identification; integrated navigation systems; measurement model; model errors; parameter estimation; quality control; real-time estimation; real-time testing; recursive testing; Adaptation model; Equations; Filtering; Filters; Geophysics computing; Mathematical model; Navigation; Quality control; Real time systems; Testing;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
