Nonlinear adaptive estimation is applied to terrain-referenced navigation in three dimensions. In this scheme, a bank of parallel filters is initialized with different altitude hypotheses, where each filter represents a discrete (gridded) approximation to the Bayes minimum variance estimator. The importance weight of each filter is recursively updated using the measurement residuals. The altitude bias estimate is found from a weighted sum of the filter hypotheses. Numerical simulations with synthetic data indicate that an altitude bias can be accurately estimated without the use of three-dimensional grids. The computational efficiency and parallel nature of the filters allow real-time positioning in three dimensions.
Nonlinear adaptive filtering in terrain-referenced navigation
IEEE Transactions on Aerospace and Electronic Systems ; 51 , 4 ; 3461-3469
2015-10-01
4177605 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
NTIS | 1995
|Tema Archiv | 1990
|Adaptive Estimation of Altitude Bias in Terrain Referenced Navigation
British Library Conference Proceedings | 2015
|