RT Book, Section
T1 Using MILP for UAVs trajectory optimization under radar detection risk
A1 Ruz Ortiz, José Jaime
A1 Arévalo, Orlando
A1 Cruz García, Jesús Manuel de la
A1 Pajares Martínsanz, Gonzalo
AB 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.
PB IEEE
SN 978-0-7803-9758-3
YR 2006
FD 2006
LK https://hdl.handle.net/20.500.14352/53313
UL https://hdl.handle.net/20.500.14352/53313
LA eng
NO ©2006 IEEE. IEEE International Conference on Emerging Technologies and Factory Automation (11th. sep 20-22, 2006 Praga, República Checa). This research was funded by the Community ofMadrid, project COSICOLOGI S-0505/DPI-0391.
NO Community of Madrid
DS Docta Complutense
RD 8 jun 2026