• Civil Aviation •     Next Articles

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

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

CLC Number: