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机构地区:[1]国防科技大学机电工程与自动化学院,湖南长沙410073
出 处:《计算机仿真》2007年第9期62-66,共5页Computer Simulation
摘 要:提出了一种基于概率地图的航迹规划方法。文中所构建的概率地图采用概率密度函数来对各种威胁源进行建模,非常适合表述战场环境的不确定特性。在此基础上设计的带权系数的航迹规划算法,可以通过改变权系数的值,实现在寻找较短的航线和寻找具有较小失败概率的航线之间进行权衡,以此反映规划者的主观意图。另外,此方法还能给出航迹的失败概率值,可以作为指挥决策时的一个评价指标。仿真实验证明,该方法能够获得满意的效果。This paper proposed an algorithm of route planning based on probabihstic map. Probabilistic map is used to model the battlefield environment, where all the threat sources are given by their probability distribution functions. Based on this probabilistic map, this paper developed a strategy that is parameterized to change the weighting on finding a shorter route or finding a route that will give smaller probability of getting disabled. Another advantage of the algorithm is that it can give the probability of getting disabled along the route, which is used in decision making such as probability of success or failure. The experiment results demonstrated that this algorithm can complete planning mission satisfactorily.
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