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oai:docta.ucm.es:20.500.14352/533132024-08-21T14:35:34Zcom_20.500.14352_14col_20.500.14352_21

00925njm 22002777a 4500 dc Ruz Ortiz, José Jaime author Arévalo, Orlando author Cruz García, Jesús Manuel de la author Pajares Martínsanz, Gonzalo author 2006 This paper presents an approach to trajectories optimization for Unmanned Aerial Vehicle (UAV) in presence of obstacles, waypoints, and threat zones such as radar detection regions, using Mixed Integer Linear Programming (MILP). The main result is the linear approximation of a nonlinear radar detection risk function with integer constraints and indicator 0-1 variables. Several results are presented to show that the approach can yields trajectories depending on the acceptable risk of detection. 978-0-7803-9758-3 https://hdl.handle.net/20.500.14352/53313 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4178340&tag=1 http://ieeexplore.ieee.org/ Using MILP for UAVs trajectory optimization under radar detection risk