DocumentCode :
3028940
Title :
A geomagnetic positioning method with Adaptive Genetic Algorithm
Author :
Changhong, Wang ; Rui, Liu ; Baohua, Li ; Yimin, Kou
Author_Institution :
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
fYear :
2010
fDate :
8-10 June 2010
Firstpage :
1014
Lastpage :
1018
Abstract :
Geomagnetism Aided Navigation (GAN) is one of the most important methods to control the error in the INS. An Adaptive Genetic Algorithm applied in geomagnetic marching is proposed in this paper. By adjusting the Crossover Probability and Mutation Probability adaptively according to the value of fitness function, the AGA prevents the Genetic Algorithm from premature convergence or transforms the GA to a random search. Simulation results show that the proposed method can obtain high positioning accuracy and fast calculation. The method is robust.
Keywords :
genetic algorithms; geomagnetism; inertial navigation; probability; adaptive genetic algorithm; crossover probability; fitness function; geomagnetic marching; geomagnetic positioning method; geomagnetism aided navigation; inertial navigation system; mutation probability; Adaptation model; Correlation; Gallium; Genetic algorithms; Navigation; Real time systems; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6043-4
Electronic_ISBN :
978-1-4244-7505-6
Type :
conf
DOI :
10.1109/ISSCAA.2010.5632364
Filename :
5632364
Link To Document :
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