Trajectory Prediction Based on Improved Sliding Window Polynomial Fitting Prediction Method
Aiming at the problem of high precision trajectory prediction in air traffic control automation system, a new method based on improved sliding window polynomial fitting prediction is proposed. This method improves the traditional sliding window polynomial fitting method and selects an appropriate historical data group for every predicted value, which provides every prediction with a suitable polynomial fitting equation and make the most use of the current value, and its prediction precision is higher than the traditional sliding window polynomial fitting prediction method. The simulation results show that the improved sliding window polynomial fitting prediction is better than traditional sliding window polynomial fitting prediction method and it can predict the civil aviation flight trajectory effectively.