Title of article :
Underwater Terrain and Gravity aided inertial navigation based on Kalman filter
Author/Authors :
Khalilabadi, Mohammad Reza Faculty of Naval Aviation - Malek Ashtar University of Technology, Iran
Abstract :
In this paper, we present a new method for terrain and gravity aided navigation.
Gravity aided navigation and terrain aided navigation are map aided navigation
methods for correcting Inertial Navigation System (INS) errors of Autonomous
Underwater Vehicles (AUV). Map aided navigation uses the information of the
geophysical field maps. For achieve the highest accuracy and reliability two or three
map aided navigation systems are combined. In this paper, we proposed a new
method that simultaneously uses gravity map data and terrain map data. For maps
data fusion we use a Kalman filter which its measurement equation defined based
on gravity and terrain of the experiment area. The experimental results are
encouraging.
Keywords :
Navigation , Underwater , Terrain aided navigation , Gravity aided navigation , Kalman filter , Two maps aided navigation
Journal title :
International Journal of Coastal and Offshore Engineering