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作 者:廖燕荣 姜可宇[1] LIAO Yanrong;JIANG Keyu(School of Electronic Engineering,Naval University of Engineering,Wuhan 430033)
出 处:《舰船电子工程》2022年第7期23-27,43,共6页Ship Electronic Engineering
摘 要:传统水面舰艇检查搜潜主要采用对任务海域进行扫描覆盖的搜索方法,其存在发现概率和搜索效率不高的问题。针对此问题,论文将任务海域划分成多个子区域,建立潜艇存在概率图,根据水面舰艇的实时探测信息,更新潜艇存在概率图,然后采用决策预控制思想,建立预测模型、目标函数及优化模型,利用PSO算法优化求解水面舰艇的动态搜潜航迹。最后通过仿真实验,验证了基于潜艇存在概率分区搜潜策略在提升潜艇发现概率和搜索效率方面的有效性。The traditional checking anti-submarine of surface ship mainly adopts the search method of scanning and covering the anti-sub area,which has the problems of low discovery probability and search efficiency.To solve this problem,this paper di⁃vides anti-sub area into several sub areas,establishes the submarine existence probability map,updates the submarine existence probability map according to the real-time detection information of surface ships,then uses the idea of decision predictive control to establish the prediction model,objective function and optimization model,and uses PSO algorithm to optimize the dynamic subma⁃rine search track of surface ships.Finally,through simulation experiments,the effectiveness of submarine search strategy based on submarine existence probability in improving submarine discovery probability and search efficiency is verified.
分 类 号:U647.7[交通运输工程—船舶及航道工程] O141.4[交通运输工程—船舶与海洋工程]
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