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作 者:郑振 马蛟 ZHENG Zhen;MA Jiao(No.91129 Troops of PLA,Haikou 570311)
机构地区:[1]中国人民解放军91129部队,海口570311
出 处:《舰船电子工程》2022年第11期151-154,189,共5页Ship Electronic Engineering
摘 要:反潜武器作战效能评估受限的因子具有多样性和不确定性,为了提高评估效能,降低己方损伤,提出基于攻击参数识别的反潜武器作战效能评估模型,构建反潜武器作战效能约束参数模型,根据潜艇的移动速度、反潜武器的移动速度、声呐识别范围以及潜艇的隐蔽性参数分析,建立反潜武器的作战单元相关性控制参量分析模型,采用自适应学习方法实现反潜作战过程中的效能寻优,分析不可控因素的单元因素,以成功识别潜艇的概率密度作为关联因子,采用信息熵和关联维特征检测方法,建立反潜武器作战效能评估的动态寻优分析模型,分析作战实体、通信和关系以及对作战仿真造成的影响关系,实现搜潜概率及搜潜用时的可靠性解算。仿真结果表明,采用该方法进行反潜武器作战效能评估的可靠性较高,提高了搜潜成功率,降低了搜潜用时。The factors that limit the evaluation of anti-submarine weapon combat effectiveness are diversity and uncertainty.In order to improve the evaluation effectiveness and reduce self-damage,an anti-submarine weapon combat effectiveness evaluation model based on attack parameter identification is proposed,and an anti-submarine weapon combat effectiveness constraint parameter model is constructed. According to the analysis of submarine moving speed,anti-submarine weapon moving speed,sonar recognition range and submarine concealment parameters,an analysis model of anti-submarine weapon combat unit correlation control parameters is established. Self-adaptive learning method is used to realize the efficiency optimization in the process of anti-submarine warfare,unit factors of uncontrollable factors are analyzed,the probability density of successful submarine identification is used as correlation factor,and the dynamic optimization analysis model of anti-submarine weapon combat effectiveness evaluation is established by using information entropy and correlation dimension feature detection method,and the combat entities,communication and relationships and their influence on combat simulation are analyzed,so as to realize the probability of submarine search and the reliability of submarine search. The simulation results show that this method is highly reliable in evaluating the operational effectiveness of anti-submarine weapons,which improves the success rate of searching for submarine and reduces the searching time.
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