摘要
航空器的轨迹预测是空中管理技术的基础,由于空中交通环境存在不确定性因素,航空器飞行轨迹的准确预测一直是业内关注的焦点。卡尔曼滤波(Kalman Filtering)是一种能够过滤线性噪声并对当前状态进行预测的状态方程,具有占用内存小、速度快的优点,可应用于含有不确定信息的动态系统中。基于此,提出一种基于卡尔曼滤波的飞行航迹预测,不仅能够预测航空器的当前轨迹,解决不确定因素带来的影响,还能节省预测成本。
The trajectory prediction of aircraft is the foundation of air management technology.Due to the uncertainty factors in the air traffic environment,accurate prediction of aircraft flight trajectory has always been a focus of attention in the industry.Kalman Filtering is a state equation that can filter linear noise and predict the current state.It has the advantages of small memory usage and fast speed,and can be applied to dynamic systems containing uncertain information.Based on this,a flight trajectory prediction based on Kalman Filtering is proposed,which can not only predict the current trajectory of the aircraft,solve the impact from uncertainties,but also save prediction costs.
作者
唐陈宇
唐建
曾孟佳
TANG Chenyu;TANG Jian;ZENG Mengjia(School of Electronic Information,Huzhou College,Huzhou 313000,China;School of Information Engineering,Huzhou University,Huzhou 313000,China)
出处
《现代信息科技》
2023年第16期74-78,共5页
Modern Information Technology
基金
国家级大学生创新创业训练项目(202113287111,202313287007)。
关键词
空中交通管理
航迹预测
卡尔曼滤波
air traffic management
trajectory prediction
Kalman filtering
