Open AccessResearch on Trajectory Prediction Algorithm for Low-altitude Emergency Rescue Aircraft
Author(s) -
Bin Hu,
Fang Pan,
Qian Xiaoxia
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1510/1/012018
Subject(s) - aviation , trajectory , mode (computer interface) , computer science , algorithm , function (biology) , state (computer science) , inference , engineering , artificial intelligence , aerospace engineering , physics , astronomy , biology , operating system , evolutionary biology
With the rapid development of general aviation, this aviation solution is widely used in emergencies such as natural disasters, major accidents, and social security problems because of its fast start-up speed, high rescue efficiency, and less restrictions. In this paper, state-dependent mode transition hybrid estimation (SDTHE) is combined with the improved intent inference algorithm (IIIA) to obtain a more accurate trajectory prediction algorithm. The algorithm overcomes the shortcoming of the hypothesis that the likelihood function is zero in the interactive multiple model algorithm (IMM), and considers the real-time motion state and mode of the aircraft, so that the final prediction result is more accurate.