Title :
Statistical physics method for multi-base multi-UAV cooperative reconnaissance mission planning
Author :
Zhong Shi;Xuexiang Huang;Yuming Hua;Dezhen Xu
Author_Institution :
Beijing Institute of Tracking and Telecommunications Technology, Beijing, P.R. China
Abstract :
As the environment of battlefield is increasingly complex, single UAV(Unmanned Aerial Vehicle) has problem in reconnaissance mission, which needs cooperative reconnaissance of multi-UAV. However, the multi-UAV cooperative reconnaissance mission planning has trouble in searching the excellent solution, because of its large searching space but sparse solution space. Heuristic algorithm, which is widely used in multi-UAV cooperative reconnaissance mission planning at present, is difficult to find a reliable initial solution, limiting the rate of convergence. Aiming at this problem, this paper proposes the statistical physics method: the small world network and probability field fractal method to present the initial planning scheme, and the sequential kernel function method to adjust the planning scheme. Finally, according to the simulation results, statistical physics method can solve the problem effectively, and is a highly efficient way.
Keywords :
"Decision support systems","Niobium","Reconnaissance","Planning","Physics","Artificial neural networks","Optimization"
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
DOI :
10.1109/IAEAC.2015.7428519