Research On Related Navigation Algorithm And Theory Based On JTIDS

This thesis introduces the key technique of the US military distributed information system, with focuses on algorithms about related navigation of military tactics. Kalman Filtering combined with Least Square Method is proposed for the current military development stage. The method of observation result including velocity component minimizes the convergence time, improves the positioning precision and acquired satisfied experiment results, which makes the PLA independence of the US high-tech equipments. A genetic algorithm is employed to choose the most effective navigation sources to save computing time and make sure of the real time feature from multiple factors for the reason of long processing time in Navigation Source Selection. The model discussed has been applied to real project.