摘要
通过采集ADS-B等空地数据链实时下传的航空器状态数据(高度、航向、地速和垂直速度),建立航空器的飞行状态转换及观测方程,进而利用交互式多模算法(IMM)让不同的运动模式匹配航空器不同的运动状态,动态校正航空器初始航迹预测值,并展开无观测数据条件下的4D航迹外推.仿真实验表明,该算法收敛速度较快,航迹预测精度较高,能够有效的追踪航空器的实时运动状况.
The flight state conversion and observation equations of the aircraft were established by collecting the aircraft state data(altitude,heading,ground speed and vertical speed)transmitted from ADS-B and other air-to-ground data links in real time.Furthermore,interactive multi-mode algorithm(IMM)was used to make different motion modes match different motion states of the aircraft,dynamically correct the predicted initial flight path of the aircraft,and carry out 4D flight path extrapolation without observation data.Simulation results show that the algorithm has fast convergence speed and high track prediction accuracy,and can effectively track the real-time motion of aircraft.
作者
汤新民
李腾
陈强超
顾俊伟
TANG Xinmin;LI Teng;CHEN Qiangchao;GU Junwei(NUAA Civil Aviation College,Nanjing 211100,China;CAAC Central and Southern Regional Administration,Guangzhou 510000,China)
出处
《武汉理工大学学报（交通科学与工程版）》
2020年第1期39-45,共7页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(61773202)
四川省科技计划项目(2018JZ0030)
空管国家重点实验室开放基金项目(SKLATM201706)资助。
关键词
多模式交互
4D航迹
动态预测
Interactive Multi-models
4D trajectory
dynamic prediction
