为对空袭目标进行准确选择,达到最大的射击效率,通过把空袭目标的威胁度作为目标函数制定目标选择策略,提出了基于马尔可夫过程的防空武器目标选择策略。首先定义了各个时刻的火力分配策略矩阵,在此基础上给出了防空武器目标选择过程中的状态转移矩阵以及分配射击一个目标后所能获得的期望效益函数,接着将防空作战系统的平均效益利用火力分配策略表示了出来。该算法能够对来袭目标进行瞬时选择,适应战场作战形势,并且通过算例进行了分析验证,证明了本文方法的可行性。
To accurately choose the air attack target and obtain the maximum fire effectiveness, an anti -aircraft weapons target selection strategy based on the Markov process is proposed, which is formulated by looking on the threat degree of the air attack target as the target function. First, the strategic matrix of firepower assignment is defined, then, the state transfer matrix in the target selection process and anticipant benefit function after firing a object are given. Finally the average benefit of anti - air warfare system is expressed by using the firepower assignment strategy. Using this method the objective can be selected instantaneously to adapt battlefield campaign position. Simultaneously an analysis and verification have been done through an example, the results show that this method is feasible and can satisfy the battlefield operational requirement.