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航空器轨迹变点检测与判识技术研究

苏志刚a,b,李志强a,郝敬堂b   

  1. (taptap下载安装安卓a.天津市智能信号与图像处理重点实验室;b.中欧航空工程师学院,天津300300)
  • 收稿日期:2017-03-28 修回日期:2017-04-10 出版日期:2017-08-25 发布日期:2017-11-08
  • 作者简介:苏志刚(1972—),男,黑龙江尚志人,教授,工学博士,研究方向为阵列信号处理、信息融合及空管新技术.
  • 基金资助:

    中央高校基本科研业务费专项(3122017111)

Research on change point detection and recognition of aircraft trajectory

SU Zhiganga,b, LI Zhiqianga, HAO Jingtangb   

  1. (a. Intelligent Signal and Image Processing Key Lab of Tianjin; b. Sino-European Institute of Aviation Engineering,CAUC, Tianjin 300300, China)
  • Received:2017-03-28 Revised:2017-04-10 Online:2017-08-25 Published:2017-11-08

摘要:

  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。

关键词: 航空排放, 排放监测, 航迹分割, 变点检测, T 2统计量

Abstract:

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 T2 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.

Key words: aviation emission, emission monitoring, trajectory segment, change point detection, T2 statistics

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