摘要
随着民航业的持续发展,空中航路日益拥堵,安全问题日益凸显。民用航空器主要依靠陆基导航设备定位,以确保准确航行在预定航路,故而导航设备的可靠性和准确性显得尤为重要。为航空器能够及时准确识别故障导航台,评估导航精度,实现精准定位,可以充分利用机载QAR数据对导航台进行间接校验。文章对机载数据进行卡尔曼滤波去噪,通过坐标转换、样条插值、航迹推测和数据融合,得到平面标称航迹。对导航台定位误差及相应的影响因素进行相关性分析及共线性统计,建立岭回归模型,量化各因素对误差的影响程度;基于动态时间规整的方法提出一种导航台可用性度量方法,实现导航台可用性和导航精度的度量。通过实际案例,证明了模型的可行性。
With the development of civil aviation,airspace congestion become increasingly prevalent,highlighting the escalating issues of safety.Civil aviation relies predominantly on ground-based navigation equipment for aircraft positioning,ensuring navigation along predetermined routes.Consequently,the reliability and accuracy of navigation equipment become paramount.Promptly identifying faulty navigation stations,assessing navigation accuracy,and achieving precise positioning are imperative.Leveraging QAR data for the indirect verification of navigation stations facilitates these processes.This study employs Kalman filtering to denoise onboard big data,utilizing coordinate transformation,spline interpolation,trajectory prediction,and data fusion to obtain a nominal flat trajectory.Based on the theoretical distribution of errors,the positional error is calculated with the nominal trajectory as a reference.Subsequently,a ridge regression model is established to determine the degree of influence of each factor on errors.Furthermore,a method for measuring navigation station availability is proposed based on dynamic time warping,facilitating the quantification of navigation station availability and accuracy.Finally,the model is validated as effective through real-world cases.
作者
苟利鹏
卢朝阳
谈翌平
熊章佳
李浩
GOU Li-peng;LU Chao-yang;TAN Yi-ping;XIONG Zhang-jia;LI Hao(Nanjing University of Aeronautics and Astronautics,Nanjing 211000,China)
出处
《航空计算技术》
2024年第4期94-99,共6页
Aeronautical Computing Technique
关键词
航空运输
定位误差
QAR
导航精度及可用性
轨迹融合
air transportation
positioning errors
QAR
navigation accuracy and availability
trajectory fusion
