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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。
The effective division of aircraft flight phases is an important technical means to support the active monitoring of aviation emissions. The method of variable point detection and identification can effectively realize the division of flight phases of aircraft. According to the characteristics of multivariate T ~ 2 statistics and under the assumption of consistency of the overall data, this study proposes a method of detecting and identifying the change points of trajectories of aircraft trajectories using a sequence of double sliding windows. The simulation and experimental results show that this method is sensitive to the length of the window and can effectively solve the problem of detecting the change point of the trajectory under the appropriate window length. According to the characteristics of aircraft trajectory, under the premise of choosing the appropriate window length, this method is an effective method of detecting and identifying change points.