A method for the dynamic monitoring and prediction of aircraft flight status using the installed BeiDou navigation system

Currently, there is a need to calculate the current flight status of aircrafts using the BeiDou navigation system for real-time monitoring. Based on the Kalman filter, particle filter and other methods of aircraft flight prediction and estimation, this paper proposes the method of utilizing multi-point aircraft flight state data to multiply the weight dynamically and averaging to obtain the current state data. This is then displayed on Digital Earth in real-time, to achieve real-time monitoring of aircrafts. Through comparison of the predicted data and real data extracted from the aircraft, the average relation error is found to be 0.03%.