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.


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    Title :

    A geomagnetic positioning method with Adaptive Genetic Algorithm


    Contributors:
    Wang Changhong, (author) / Liu Rui, (author) / Li Baohua, (author) / Kou Yimin, (author)


    Publication date :

    2010-06-01


    Size :

    683681 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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