Title :
Geo-information entropy for positioning and navigation
Author :
Yan, Ming ; Yan, Lei ; Wang, Kedong
Author_Institution :
Beijing Key Lab. of Spatial Inf. Integration & Its Application, Peking Univ., Beijing, China
Abstract :
An inertia navigation system (INS) must be regulated with aiding information for its long-term navigation precision. In this paper, the local geographic information entropy, as aiding information, is used to correct the INS error. A minimum variance matching algorithm is designed and simulated with MATLAB. As a result, geo-information is hardly interfered by the "outer world" as a navigation aiding model, either autonomously or semi-autonomously.
Keywords :
entropy; error correction; geographic information systems; inertial navigation; position measurement; INS error correction; entropy matching; geo-information entropy; inertia navigation systems; information aided navigation; local geographic information entropy; long-term navigation precision; minimum variance matching algorithm; positioning; vehicle position estimation; Algorithm design and analysis; Error correction; Gaussian distribution; Gravity measurement; Information entropy; MATLAB; Mathematical model; Position measurement; Radio navigation; Remote sensing;
Conference_Titel :
Position Location and Navigation Symposium, 2004. PLANS 2004
Print_ISBN :
0-7803-8416-4
DOI :
10.1109/PLANS.2004.1309008
