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对战机对抗导弹的措施优化问题进行了研究,将该问题归结为不确定条件下的序贯决策问题,提出了一种基于Markov决策过程(MDP)的导弹对抗措施优化方法。首先,该方法根据作战过程将作战阶段分为不同的状态,将电子对抗措施(ECM)和战术机动作为可供战机选择的行动;然后,通过不同战术行动下状态之间的转移概率来反映行动的不确定性,以雷达搜索状态和导弹命中状态的期望值来表征不同策略下的飞机生存力;最后,通过建立Markov决策模型得到飞机生存力最大时各个状态对应的最佳行动。仿真结果表明:飞机生存力随着时间推移而逐渐降低;不同策略下飞机的生存力不同,基于MDP的策略可以有效提高飞机的生存力;单步优化措施不能提高战机的生存力,必须考虑长期状态转移的影响。
This paper studies the optimization of the fighter-to-missile anti-missile measures. The problem is attributed to the problem of sequential decision under uncertain conditions. An optimization method of missile countermeasure based on Markov decision process (MDP) is proposed. First of all, the method divides the combat phases into different states according to the operational process, using ECM and tactical maneuver as actions available to the fighter; and then, reflecting the transition probability between states under different tactical actions , The aircraft survivability under different strategies is characterized by the expected value of the radar search status and the missile hit status. Finally, the Markov decision model is established to obtain the best action corresponding to each state when the maximum survivability of the aircraft is reached. The simulation results show that the survivability of the aircraft gradually decreases over time; the survivability of the aircraft under different strategies is different; the strategy based on the MDP can effectively improve the survivability of the aircraft; and the single-step optimization measure can not improve the survivability of the aircraft, and long- The impact of state transfer.