Title :
Terrain aided navigation using maximum a posteriori estimation
Author :
Johnson, Newton ; Tang, Wang ; Howell, Gene
Author_Institution :
Gen. Dynamics Convair Div., San Diego, CA, USA
Abstract :
The theoretical development of the maximum a posteriori (MAP) estimation technique is presented along with the application of the algorithm to terrain-aided navigation. This technique makes more complete use of the information content of the stored elevation data, the a priori knowledge of the errors in the stored elevation data, and the elevation measurements. Simulation results are presented which show that this technique provides a significant performance improvement relative to both a mean absolute difference batch algorithm and an extended Kalman filter recursive algorithm. In addition, this algorithm has been flight tested in a 1750A embedded processor to demonstrate the throughput compatibility
Keywords :
Kalman filters; aircraft control; estimation theory; filtering and prediction theory; navigation; Kalman filter recursive algorithm; aircraft control; maximum a posteriori estimation; mean absolute difference batch algorithm; stored elevation data; terrain-aided navigation; Aircraft navigation; Costs; Embedded computing; Maximum a posteriori estimation; Missiles; Position measurement; Stability; Terrain mapping; Uncertainty; Vehicle dynamics;
Conference_Titel :
Position Location and Navigation Symposium, 1990. Record. The 1990's - A Decade of Excellence in the Navigation Sciences. IEEE PLANS '90., IEEE
Conference_Location :
Las Vegas, NV
DOI :
10.1109/PLANS.1990.66215