A Geomagnetic Positioning Method with Adaptive Genetic Algorithm
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.
Wang Changhong Liu Rui Li Baohua Kou Yimin
Space Control and Inertial Technology Research Center Harbin Institute of Technology No.2,Yikuang Street,Harbin,P .R.China,150080
国际会议
哈尔滨
英文
1024-1028
2010-01-08(万方平台首次上网日期,不代表论文的发表时间)