水下无人系统学报2024，Vol.32Issue(2)：368-375,8.DOI:10.11993/j.issn.2096-3920.2023-0113
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
任斌 1谢超2
作者信息
- 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
- 折叠
摘要
Abstract
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Key words
submarine-launched acoustic homing torpedo/finding probability/Gaussian process regression分类
军事科技引用本文复制引用
任斌,谢超..基于高斯过程回归的潜射声自导鱼雷发现概率研究[J].水下无人系统学报,2024,32(2):368-375,8.
