基于交互式多模型滤波算法的航迹预测

航空器航迹预测是空中交通冲突探测与解脱,以及进离场管理等空中交通管制自动化系统的重要组成部分。基于混杂系统理论,描述航空器在水平面的运动模型,并针对航空器运动的多样性和不确定性提出了利用交互式多模型的航空器航迹预测算法。将算法应用于航空器的航迹预测,并与单一模型的卡尔曼滤波、α-β滤波和α-β-γ滤波的仿真预测结果对比,结果表明算法的有效性。

Aircraft Trajectory Prediction Based on Interacting Multiple Model Filtering Algorithm

The aircraft trajectory prediction is an important part of air traffic control automation system such as air traffic conflict detection and the arrival and departure management.This paper is based on hybrid system theory to describe the modes of aircraft movement in the horizontal plane,and the use of interactive multi-model aircraft trajectory prediction algorithm to solve the problem of diversity and uncertainty of the aircraft movement.Finally,the algorithm is applied to aircraft′s trajectory prediction,and compared with the simulation results of Kalman filter with single mode,alpha-beta filter and the alpha-beta-gamma filter.It shows that the proposed algorithm has good performance.