Altitude information fusion of miniature unmanned helicopter based on LSSVM

The miniature unmanned helicopter exhibits a highly nonlinear, high dimensional feature space and uncertain conditions. This paper describes an altitude information fusion method based on Least Squares Support Vector Machine (LSSVM). This method uses small sample without human experience, modeling by the measured data from the GPS and INS. The simulations results have demonstrated the modeling well show the helicopter´s actual altitude in the hover state.