When UCAVs are on the synergy reconnaissance task,once one of them is destroyed,the subtask which it undertakes will not be completed. In order to solve this problem,multi-sensor cross-cueing technology is implied on the system of multi-UCAV to handoff targets. Firstly,the technology of multi-agent is introduced,and the distributed management structure of sensors is built basing on the technology of multi-agent. Secondly,the combat scene where multi-sensor cross-cueing technology is implied is described using mathematical language, and the mathematical model is built. What's more,with making the diversity of courses less and the length shortest taken into considera-tion,the optimizing method of UCAV' courses basing on improved bee colony algorithm is raised. Finally,the em-phasis is placed on the dynamic control of sensors,in order to handoff targets,the multi-sensor cross-cueing method basing on auction theory is raised. The simulation result indicates that models in this paper are rational and the methods are effective.%多UCAV在协同执行对多目标的侦察任务过程中,若某一UCAV被摧毁,则该UCAV所承担的子任务将不能完成.为解决此问题,将多传感器交叉提示技术应用到多UCAV系统当中,以此顺利实现目标交接.首先引入多Agent技术,提出了基于多Agent技术的传感器分布式管理结构.其次,将采用多传感器交叉提示技术的多UCAV作战场景用数学语言描述,构建数学模型.然后,在考虑使航线相异度最小和长度最短的条件下,提出基于改进人工蜂群算法的UCAV飞行航线优化方法.最后,重点研究多传感器资源动态控制过程,为实现任务交接,提出基于拍卖理论的多传感器交叉提示算法.仿真结果表明,论文所提出的模型具有合理性,方法具有有效性.
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