摘要
针对超视距条件下多无人机协同空战,协同空战中多无人机间数据链信息共享,多目标分配等问题,改进了计算无人机间威胁的计算方法,并提出了一种新的多无人机目标分配方法。改进了以往传统的线性加权计算无人机间威胁的方法,提出了利用灰色系统理论关联度法计算无人机间威胁的方法,并改进以往算法存在的不足,提出了遗传粒子群(GAPSO)算法,使问题的求解质量和时间代价均有所提高。
According to the questions of multiple Unmanned Aerial Vehicles cooperative attacking beyond over-the-horizon condition, the data chain information sharing of multiple Unmanned Aerial Vehicles in cooperative attacking and targets distribution, the threats between the Unmanned Aerial Vehicles are improved, Moreover, a new algorithm is put forward. The traditional linear weighted method for calculating the threats is replaced by the the theory of gray systems correlation calculation method,and the Genetic Particle Swarm algorithm is improved for targets distribution. As a result,the quality and time cost of the problem are improved.
出处
《火力与指挥控制》
CSCD
北大核心
2013年第3期12-16,共5页
Fire Control & Command Control
基金
中国航空科学基金资助项目(2009ZC52041)
关键词
无人机
空战决策
关联度法
遗传粒子群算法
unmanned aerial vehicle, air combat decision making, correlation calculation method,genetic particle swarm algorithem
