基于关联定位误差信息素的巡航导弹集群快速协同搜索研究

Research on Fast Cooperative Search of Cruise Missile Cluster via Correlation Location Error Pheromone

协同搜索是巡航导弹多弹控制领域的一个未来发展方向,对其进行研究有助于巡航导弹适应未来战场智能化作战需求。针对缺少先验环境信息下巡航导弹集群对目标的高效搜索问题,本文提出了一种基于关联定位误差的改进信息素快速协同搜索算法,筛选组内精英个体领导集群成员的搜索。在此基础上,结合交叉测向、位置控制、信息融合、自主分组等技术,构建了适用于巡航导弹集群的具体实现架构。通过数值仿真分析和对比,本文构建的架构能够实现特定场景下巡航导弹集群对多未知目标的位置定位,而提出的改进信息素搜索算法能够提升协同搜索的效率。

Cooperative search is a future development direction in the field of cruise missile multi-projectile control,and its research is helpful for cruise missile to adapt to the future battlefield intelligent operation requirements.To solve the problem of efficient target search of cruise missile cluster in the absence of prior environmental information,an improved pheromone fast collaborative search algorithm based on correlation location error is proposed,which selects elite individuals within the group to lead the search of cluster members.On the basis of this,this paper combines cross direction finding,position control,information fusion,autonomous grouping and other methods to build a specific implementation architecture suitable for cruise missile cluster.Through numerical simulation analysis and comparison,the architecture constructed in this paper can realize the location of cruise missile cluster to multiple unknown targets in the sea-skimming scenario,and the proposed enhanced pheromone search algorithm can improve the efficiency of collaborative search.