海上动态目标潜在区域博弈预测及搜索方法

针对遥感卫星对海上动态目标搜索定位的应用需求, 提出海上动态目标潜在区域博弈预测及搜索方法。通过非对称信息假设将动态博弈转化为静态博弈, 简化策略函数以提高算法效率。以收益为指标设计博弈策略, 使算法更贴近实际应用, 并将目标潜在区域预测算法和卫星搜索规划算法转化为纳什均衡下的最优策略求解问题。引入目的地信息, 将目标位置预测的时间跨度从数小时增加到数天。实验结果显示, 该搜索方法在保证了较高目标捕获率的同时, 降低了遥感卫星星座的资源消耗。该搜索方法在海上动态目标搜索领域具有潜在应用价值。

Latent area prediction and search method for marine moving targets using game theory

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.