网络化弹药系统攻击决策算法

Attack Decision Algorithm in Networked Munitions

  • 摘要: 为实现网络化弹药系统对目标攻击的自主化、智能化,研究了一种目标跟踪与目标优化分配相结合的算法. 通过交互式多模型(interacting multiple model,IMM)算法实现对目标的轨迹跟踪,建立匀速拐弯运动以及匀速运动模型,通过仿真分析,IMM算法跟踪效果良好;利用跟踪到的目标的位置信息和运动状态,结合网络化弹药节点的自身工作状态,预先求得对应的组合效能函数,做出攻击决策预判. 解决了网络化弹药系统如何对机动目标实行有效打击的问题,仿真效果良好.

     

    Abstract: In order to make the network of ammunition attack the target intelligently, a method that combined the target tracking with target optimization assignment algorithm was investigated in this paper. First of all, the target trajectory tracking was realized based on the interacting multiple model (IMM); the uniform turning motion and uniform velocity motion model was established. Simulation and analysis show that the IMM tracking effect is well. Then, the combination efficiency function was obtained corresponding through the position information, the moving state of tracked target and the working state of network of ammunition. Finally the attack decision was made. The problem of attacking the moving target can be solved well by this method.

     

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