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Simulation Analysis of Mission Planning for Low Slow Small Target Compound Interception
BIAN Wei-wei, LÜ Xin, LIU Chan, JIA Yan-xiang, QIU Xu-yang
Modern Defense Technology
2021, 49 (5):
104-110.
DOI: 10.3969/j.issn.1009-086x.2021.05.014
In view of the fact that a single interception method can not meet the needs of low slow small target prevention and control under different scenarios and environmental constraints,combined with the effectiveness and constraints of interception equipment,a composite interception task planning method based on particle swarm optimization algorithm is proposed.In order to reduce the mapping space of mission planning and improve the iterative speed of the algorithm,the coding method based on Interception effectiveness feasible region is adopted.And in order to control the search process of the algorithm,the shrinking and expanding motion of the particle swarm is changed by the concentration allowed value to enhance the coverage area.Taking learning factor,population size and inertia weight as main parameters,the task planning method is simulated and analyzed.The simulation results show that the improved algorithm can match the general optimization ability and convergence speed,and has good time performance while obtaining feasible solutions.This method can provide a theoretical reference for improving the efficiency of compound interception mission planning.
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