基于蚁群算法的干扰源优化设计技术

在电子对抗新形式的战争中,对卫星导航实施有效的干扰将会极大程度地削弱敌方作战能力。若要对特定区域实施有效的干扰,干扰源的部署方案选择至关重要。为取得理想的干扰效果,本文结合压制式和欺骗式干扰原理以及现代战争的特点,对卫星导航干扰源部署问题进行建模,在干扰源部署方案中选取任务区域干扰效益和平均危险指数作为衡量特定部署方案下干扰能力的指标,建立多目标组合优化模型,并运用蚁群算法优化部署方案。通过仿真分析表明，混沌蚁群算法能有效对干扰源部署方案进行优化,实现对卫星导航的有效干扰。 

Optimal Design of Interference Source Based on Ant Colony Algorithm

In the new form of electronic warfare against war, the implementation of effective interference with satellite navigation will greatly weaken the enemy's combat capability. In order to implement effective interference to a particular area, the choice of deployment scheme for interference sources is critical. In order to achieve the desired interference effect, this paper models the deployment problem of satellite navigation jamming based on the principle of suppression and deceptive jamming and the characteristics of modern warfare, and chooses the jamming benefit and average risk index The multi objective combinatorial optimization model, and the ant colony algorithm to optimize the deployment plan. Simulation analysis shows that the chaotic ant colony algorithm can effectively optimize the deployment plan of jamming sources and realize effective interference to satellite navigation.