摘要
为提高舰载反潜直升机吊放声纳区域反潜搜索作战效能,对舰载反潜直升机吊放声纳区域反潜搜索策略问题进行了建模。根据潜艇目标位置信息的不确定性,研究了潜艇目标位置信息的概率分布函数,采用Markov状态转移概率矩阵描述了潜艇目标位置信息变化的方法。其次,给出了基于贝叶斯理论的潜艇目标信息概率分布函数更新公式。再次,推导了舰载反潜直升机吊放声纳区域反潜最优策略,给出了舰载直升机吊放声纳区域反潜搜索算法。最后给出了典型案例,验证了反潜搜索策略的有效性。研究成果可为舰载反潜直升机吊放声纳区域反潜提供决策依据。
In order to improve operational efficiency of area searching for antisubmarine helicopterwith dipping sonar,the area searching strategies for antisubmarine helicopter with dipping sonar ismodeled and researched.Firstly,because of the uncertainty of submarine position information,theprobability density of submarine position is researched,and the Markov transition probility matrix isused to describle the motion of helicopter.Secondly,the new submarine position probability is updatedusing bayes rule.Thirdly,the optimal search strategies for antisubmarine helicopter with dipping sonaris deduced,and the search algorithm is given.Finally,experimental results demonstrate the ability andvalidity of the optimal search strategies.The results of this paper can provide decision support for areasearching of antisubmarine helicopter with dipping sonar.
作者
常波
周晓光
田怀英
李莹
CHANG Bo;ZHOU Xiao-guang;TIAN Huai-ying;LI Ying(Naval Aviation Institute,Huludao 125001,China)
出处
《火力与指挥控制》
CSCD
北大核心
2017年第8期68-71,75,共5页
Fire Control & Command Control
基金
国家社科基金(军事学)资助项目(14J003-XXX)
关键词
反潜直升机
搜索策略
贝叶斯理论
antisubmarine helicopter
searching strategy
bayesian theory