Application Of Kalman Filter Algorithm In Track Prediction

Abstract

In the course of flight, trajectory prediction is to use a series of measured data such as course Angle, speed and flight altitude to predict the next moment or the next stage of the aircraft state, and output the specific trajectory. This paper analyzes the research status of the existing algorithms, aiming at the problems of high time complexity and large computational load of some prediction algorithms, the kalman filter algorithm is mainly introduced, which has the characteristics of linear optimal filtering, and has a good implementation effect when applied to specific engineering problems.