海上动态目标潜在区域博弈预测及搜索方法

The latent area prediction and search method based on game theory is proposed for application requirements of searching marine moving targets by using remote sensing satellites. Based on the assumption of asymmetric information, dynamic games are transformed into static games, and the strategy functions are simplified to improve the efficiency of the algorithm. By designing the game strategy, the algorithm is closer to the actual application, and the problems of target latent area prediction algorithm and satellite search planning algorithm are transformed into problems of solving Nash equilibrium strategies. By introducing destination information, the time span of target location prediction is increased from several hours to several days. The experimental results show that the proposed search method ensures a higher target acquisition probability and reduces the resource consumption of the remote sensing satellite constellation. The search method has potential application value in the field of searching marine moving targets.