Title :
General aircraft 4D flight trajectory prediction method based on data fusion
Author :
Zheng Li;Shuang-Hong Li; Xue-Liwu
Author_Institution :
School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
In order to accurately predict general aviation aircraft path, this paper puts forward the basic flight model prediction method based on data fusion. The 4D trajectory track is decomposed into horizontal and vertical section. The horizontal trajectory can accurately show the plane turning of the flight details. The vertical section can accurately express the change of aircraft flight altitude and speed. Through analyzing the characteristics of the section form and structure, and then the basic aircraft flight model and data fusion are combined and apply the idea of the weighted average method with the location, altitude, speed and heading of the plane history track feature points based data to predict and form a completed 4D trajectory accurately. An example of aircraft flying by the simulation calculation is performed to get the aircraft level track relationship with the altitude and speed.
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
DOI :
10.1109/ICMLC.2015.7340940