2026-06-07T23:48:16Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/533132024-08-21T14:35:34Zcom_20.500.14352_14col_20.500.14352_21
Docta Complutense
author
Ruz Ortiz, José Jaime
author
Arévalo, Orlando
author
Cruz García, Jesús Manuel de la
author
Pajares Martínsanz, Gonzalo
2023-06-20T13:40:17Z
2023-06-20T13:40:17Z
2006
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/
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.
eng
Using MILP for UAVs trajectory optimization under radar detection risk
book part
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application/pdf
cruzgarcia25.pdf
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88e41a8eee13311bff7fd8cf25953e60
28852
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cruzgarcia25.pdf.txt