Modeling and simulation analysis of the impact of naval battlefield environment on anti-mine warfare effectiveness
Commencing from the active sonar equation,this study holistically assesses variations in received signal-to-noise ratio,considering marine environmental factors including seabed topography,sediment composition,water temperature,water quality,flow velocity,sea conditions,and sailing speed.By merging mine attitude models,propagation loss models,and noise models,the operational capacity of mine equipment is precisely evaluated.Through an analysis of operational efficiency,practical references and foundations are furnished for military training and operations.In the context of unmanned boat cluster anti-mine operations,a collaborative ant colony algorithm search grounded in the ant colony algorithm is proposed.Simulations demonstrate that the collaborative ant colony algorithm outperforms exhaustive search algorithms by 18.9%,and by 10.4%compared to solitary ant colony algorithm searches under unfavorable marine conditions and suboptimal equipment performance.This method effectively trims the time required for anti-mine operations and enhances the efficiency of collaborative mine search by unmanned boats.Lastly,utilizing visualization software,a naval battlefield mine equipment model is constructed,comprehensively factoring in marine environmental parameters.A data analysis of mine warfare selection schemes is performed,furnishing decision-making support for operational plans and serving as a reference for relevant industry professionals.
marine environmental factorssignal to noise ratio variationant colony algorithmvisualization software
NETL
NSTL
万方数据
