论文部分内容阅读
总结了武器目标分配(Weapon Target Assignment,WTA)问题的研究现状,分析了资源损失最小化和目标威胁最大化两类静态分配模型的局限性,为了达到目标动态分配的目的以解决当前方法的非实时性问题,提出了一种符合作战实际的动态武器目标分配方法。首先,为使分配模型具有实时性和一般性,引入了目标的动态输入,并使其按一般性分布随机地进入;其次,针对目标输入后的动态随机系统,分析了再生点瞬间的系统状态,采用嵌入马尔可夫链(Markov Chain,MC)的方法使得系统马尔可夫化,求解了系统的状态转移概率;再次,构造了武器目标分配的目标函数,根据系统的状态转移概率建立了动态的目标分配模型;最后给出了模型求解方法,并通过实例证明了该方法的有效性和实时性,是对现有方法的一种完善和补充。
This paper summarizes the research status of Weapon Target Assignment (WTA) problem, analyzes the limitations of two types of static allocation models, which are resource loss minimization and target threat maximization. In order to achieve the goal of dynamic allocation, Real-time issues, put forward a kind of dynamic weapons in line with the actual operational objectives of the distribution method. First of all, in order to make the distribution model have real-time and generality, the dynamic input of the target is introduced and it is randomly entered according to the general distribution. Secondly, the dynamic state of the system after the target is input is analyzed. , Markov chain (MC) method is adopted to make the system Markov chain to solve the state transition probability of the system. Thirdly, the objective function of weapon target distribution is constructed. According to the state transition probability of the system, a dynamic Finally, the method of solving the model is given, and the effectiveness and the real-time performance of the method are proved through examples. This is a perfect and complement to the existing method.