一种基于雷达数据融合的航班4D航迹预测方法

A Flight 4D Trajectory Prediction Method Based on Radar Data Fusion

4D航迹预测是空管自动化系统及流量管理系统的一项核心技术,能够提高空域的利用率和安全性。本文提出了一种4D航迹预测方法,结合多数据源雷达、气象、航班计划、航空器性能等数据,利用飞行经验样本推测各时间点的航空器位置,从而得出航空器的飞行轨迹与时间的精准预测。通过在华东空管流量管理系统及空管自动化系统中的应用效果,说明该方法的实用性和有效性。

4D trajectory prediction is a core technology of ATC automation system and traffic management system,which can improve the utilization and security of airspace.In this paper,a 4D trajectory prediction method is proposed.Combining the data of multi-data source radar,meteorology,flight plan and aircraft performance,the position of an aircraft at each time point is inferred by flight experience samples,and the precise prediction of flight trajectory and time is obtained.The practicability and effectiveness of the method are illustrated by the application effect in East China ATC Flow Management System and ATC Automation System.