基于高斯过程回归的潜射声自导鱼雷发现概率研究  

Finding Probability of Submarine-Launched Acoustic Homing Torpedoes Based on Gaussian Process Regression

作　　者：任斌 谢超 REN Bin;XIE Chao(Marine Equipment Project Management Center,Beijing 100071,China;Beijing Institute of Technology,School of Automation,Beijing 100081,China)

机构地区：[1]海装装备项目管理中心,北京100071 [2]北京理工大学自动化学院,北京100081

出　　处：《水下无人系统学报》2024年第2期368-375,共8页Journal of Unmanned Undersea Systems

摘　　要：明确潜射声自导鱼雷的发现概率,对相关战术制定具有显著作用。传统解析算法和统计算法无法平衡概率评估的快速性和精确性,针对此问题,文中提出了一种基于高斯过程回归的发现概率评估模型,以及基于解析模型的训练数据集生成方法,并在特定态势下开展了发现概率评估的数值仿真。结果显示,文中所提方法具有很好的评估效果,可为相关战场决策提供理论支撑。The determination of the finding probability of submarine-launched acoustic homing torpedoes significantly affects tactical formulation.Conventional analytical and statistical algorithms fail to balance the speed and precision of probability assessment.In response to this issue,this paper introduced a model for assessing the finding probability based on Gaussian process regression.Additionally,a method was proposed for generating a training dataset based on the analytical model.Numerical simulations for assessing the finding probability were conducted within a specific battlefield scenario.The outcomes illustrate the superior assessment effect of the proposed method,offering theoretical support for decision-making in relevant battlefield contexts.

关 键 词：潜射声自导鱼雷 发现概率 高斯过程回归 

分 类 号：TJ630.1[兵器科学与技术—武器系统与运用工程]