Title :
Worst case scenario analysis for dynamic target tracking using design of experiments
Author :
Chithapuram, Chethan ; Kumar, C. Aswani ; Jeppu, Yogananda V.
Author_Institution :
Moog India Technol. Center (MITC), Bangalore, India
Abstract :
Design of Experiments (DOE) is a mathematical methodology employed for information gathering and inference. This research uses the Design of Experiments methodology to analyze the worst case scenario for guiding the UAV (Unmanned Aerial Vehicle) to a maneuverable target by an UAV. Using a minimal set of simulations the DOE provides the worst case target tracking scenario against the results obtained with several simulations.
Keywords :
autonomous aerial vehicles; design of experiments; path planning; target tracking; DOE; UAV guidance; design-of-experiments; dynamic target tracking; information gathering; information inference; unmanned aerial vehicle; worst case scenario analysis; Acceleration; Algorithm design and analysis; Informatics; Mathematical model; Mobile communication; Navigation; Pattern recognition; Aerospace simulation; Design for Experiment; Mathematical Model;
Conference_Titel :
Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on
Conference_Location :
Salem
Print_ISBN :
978-1-4673-5843-9
DOI :
10.1109/ICPRIME.2013.6496481
