面向多障碍物海面卫星搜索动目标方法

Method for moving targets search by satellites on multi-obstacle sea

在多障碍物海面航行的动目标需规避海面障碍物,运动特征更为复杂。为提高卫星搜索该类目标的效能,分析了目标规避海面障碍物对其在搜索图中概率分布的影响,基于目标马尔可夫运动过程,提出一种面向多障碍物搜索海面的动目标运动预测方法。在使用搜索图建立动目标搜索环境模型的基础上,搜索过程中首先根据卫星探测信息更新搜索图,然后采用该运动预测方法计算目标转移概率,再次更新搜索图。最后采用最大化目标发现概率作为卫星搜索策略建立仿真场景,实验结果验证了所提方法的有效性。

The moving targets on multi-obstacle sea need to avoid the obstacles,thus the motion characteristics are complicated.To improve the efficiency of satellite searching for such targets,we analyze the influence of the target’s avoidance on its probability distribution in the search map,and propose a motion prediction method for multi-obstacle searching areas based on the target’s Markovian movement.Since an environmental model for moving target search is established by using the search map,we first employ the satellite detection information to update the search map,then the target transition probability is calculated using the proposed method to update the search map again.Additionally,a simulation scenario is established by adopting the maximum target’s detection probability as the satellite search strategy.The experiment’s results show the effectiveness of the method.