航空器轨迹变点检测与判识技术研究

Research on change point detection and recognition of aircraft trajectory

航空器飞行阶段的有效划分是支撑航空排放主动监测的重要技术手段,采用变点检测与判识的方法可有效地实现对航空器飞行阶段的划分。本研究根据多变量T^2统计量的特点,在数据整体参数一致性假设下,提出了一种采用顺序双滑窗的航空器轨迹变点检测与判识的方法。仿真与实验结果表明,该方法对窗口长度较为敏感,在适宜的窗口长度下可有效地解决轨迹的变点检测问题。根据航空器轨迹的特点,选择适当的窗口长度前提下,本方法是一种有效的变点检测与判识方法。

Effective division of aircraft flight phase is an important technical measure of supporting active monitoring of aviation emission, which can be realized via change point detection and recognition. According to the characteristics of multivariate T^2 statistics, under the assumption of variance consistency of overall data parameters, a method with sequential double sliding window is proposed for detecting and estimating the change points. Simulation and experimental results show that the proposed method is more sensitive to the size of the window, change point detecting problem of trajectory can be effectively solved with well selected window length. According to the characteristics of aircraft trajectory, the proposed method is validated effective under the premise of appropriate window length.