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