Autonomous navigation method using the angle between Geomagnetic and starlight vector

According to the low precision of navigation system caused by the low precision of geomagnetic model and the limitation of astronomy navigation based on dynamics models, a autonomous navigation method, which used celestial/geomagnetism information, was presented. A general dynamics models was presented, and the observational equation of the system was educed. The angle between starlight and geomagnetic vectors was taken as observed variables and Unscenteal Kalman Filter(UKF) was used to estimate the position and the velocity of the flight. Simulation show the navigation precision of the algorithm is improved evidently compared with geomagnetic navigation. The method provides better filter convergence and stability. In the environment with loud observation noises, relatively stable filter effect can still be achieved. The navigation error doesn't cumulate with time. The dynamics models presented in this paper can meet the requirement of aircraft maneuvering, and guarantee the navigation accuracy. This model possesses general applicability. And this method has great significance to practical application.