DocumentCode
2031234
Title
Point-mass filter and Cramer-Rao bound for terrain-aided navigation
Author
Bergman, N. ; Ljung, L.
Author_Institution
Dept. of Electr. Eng., Linkoping Univ.
Volume
1
fYear
1997
fDate
10-12 Dec 1997
Firstpage
565
Abstract
The nonlinear estimation problem in navigation using terrain height variations is studied. The optimal Bayesian solution to the problem is derived. The implementation is grid based, calculating the probability of a set of points on an adaptively dense mesh. The Cramer-Rao bound is derived. Monte Carlo simulations over a commercial map shows that the algorithm, after convergence, reaches the Cramer-Rao lower bound
Keywords
Bayes methods; aerospace computing; aircraft navigation; estimation theory; filtering theory; pattern matching; probability; Bayes method; Cramer-Rao bound; aircraft; estimation theory; pattern matching; point-mass filter; probability; terrain-aided navigation; Aircraft navigation; Area measurement; Bayesian methods; Databases; Electronic mail; Filters; Level measurement; Position measurement; Terrain mapping; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.650690
Filename
650690
Link To Document