| 摘 要: 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。 |
| 关键词: 雷达数据融合；航迹预测；空管流量；空管自动化 |
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中图分类号: TP399
文献标识码: A
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| A Flight 4D Trajectory Prediction Method Based on Radar Data Fusion |
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HAN Jianfeng
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( CAAC East China Air Administration Equipment Maintenance Center, Shanghai 201702, China)
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| Abstract: 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. |
| Keywords: radar data fusion;trajectory prediction;ATC flow;ATC automation |
