基于SDP的动态武器目标分配决策算法研究  

SDP-Based Dynamic Weapon Target Assignment Algorithm

作　　者：李洋 刘耿[1] 胡晓惠 樊垚[1] 孔冠桥 Li Yang;Liu Geng;Hu Xiaohui;Fan Yao;Kong Guanqiao(Systems Engineering Research Institute,China State Shipbuilding Corporation,Beijing 100036,China;Institute of Software at the Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国船舶集团有限公司系统工程研究院,北京100036 [2]中国科学院软件研究所,北京100190

出　　处：《航空兵器》2023年第5期50-56,共7页Aero Weaponry

摘　　要：武器目标分配是水面舰艇防空反导作战指挥决策的核心环节,决策结果的优劣直接影响了防空反导作战的最终防御效果与水面舰艇的生存能力。针对当前武器目标分配算法较少考虑拦截结果的不确定性和多梯次拦截的序贯分配需求,难以适应战场动态变化的问题,设计一种基于随机动态规划的动态武器目标分配决策算法。通过进制变换编码并计算目标状态和武器状态的变化规律,基于战场态势转移概率采用逆向迭代算法生成序贯拦截方案。最终精确求解面向多梯次拦截的动态武器目标分配最优策略,回答“谁来打”“打多少”和“何时打”的水面舰艇防空反导作战决策问题。通过算例验证和数值仿真表明,使用该算法能够获得比静态武器目标分配算法更好的拦截效能,在最好情况下能够降低空中来袭目标72%的威胁期望。Weapon target assignment is the core link of command and control of naval warship air-defense and anti-missile operations.The quality of the assignment directly affects the final defense effect and survivability of surface ship.Due to the lack of consideration of the uncertainty of interception results and the requirements of multi-round interception,current algorithms is difficult to adapt to the rapidly changed battlefield.A decision-making algorithm for dynamic weapon target allocation based on stochastic dynamic programming is designed.Through base conversion encoding and calculation of the change of target state and weapon state,the sequential optimal assignment scheme is generated by using the backward iterative algorithm based on battlefield situation transition probability.Meanwhile,the decision-making problems“who will fight”“how much”and“when to fight”are also answered by the dynamic weapon target assignment algorithm.The example verification and numerical simulation show that compared with the static algorithm,using this algorithm can reduce the threat expectation of the incoming target by up to 72%.

关 键 词：水面舰艇 防空作战 动态武器目标分配 随机动态规划 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]