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

REN Bin; XIE Chao

doi:10.11993/j.issn.2096-3920.2023-0113

Volume 32 Issue 2

Apr 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Unmanned Undersea Systems > 2024 > 32(2): 368-375

REN Bin, XIE Chao. Finding Probability of Submarine-Launched Acoustic Homing Torpedoes Based on Gaussian Process Regression[J]. Journal of Unmanned Undersea Systems, 2024, 32(2): 368-375. doi: 10.11993/j.issn.2096-3920.2023-0113

Citation:

REN Bin, XIE Chao. Finding Probability of Submarine-Launched Acoustic Homing Torpedoes Based on Gaussian Process Regression[J]. Journal of Unmanned Undersea Systems, 2024, 32(2): 368-375. doi: 10.11993/j.issn.2096-3920.2023-0113

Citation:

PDF( 2363 KB)

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

doi: 10.11993/j.issn.2096-3920.2023-0113

REN Bin¹,
XIE Chao^2
,

1.
Marine Equipment Project Management Center, Beijing 100071, China
2.
Beijing Institute of Technology, School of Automation, Beijing 100081, China

Received Date: 2023-09-28
Accepted Date: 2023-11-22
Rev Recd Date: 2023-10-30

Available Online: 2024-03-25

Abstract

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.
- submarine-launched acoustic homing torpedo,
- finding probability,
- Gaussian process regression

FullText(HTML)

References(10)

References

[1]	孟庆玉, 张静远, 宋保维. 鱼雷作战效能分析[M]. 北京: 国防工业出版社, 2003.
[2]	杨绪升, 刘建兵, 周庆飞. 声自导鱼雷射击诸元及误差对其捕获概率的影响[J]. 指挥控制与仿真, 2009, 31(5): 93-97. doi: 10.3969/j.issn.1673-3819.2009.05.024
[3]	薄玉成. 武器系统设计理论[M]. 北京: 北京理工大学出版社, 2010.
[4]	谢超, 周景军, 万亚民, 等. 基于脱靶量散布的超空泡鱼雷命中概率研究[J]. 水下无人系统学报, 2022, 30(2): 237-244, 253. doi: 10.11993/j.issn.2096-3920.2022.02.015 Xie Chao, Zhou Jingjun, Wan Yamin, et al. Research on hitting probability of supercavitating torpedo based on dispersion of miss distance[J]. Journal of Unmanned Undersea Systems, 2022, 30(2): 237-244, 253. doi: 10.11993/j.issn.2096-3920.2022.02.015
[5]	谢超, 周景军, 万亚民, 等. 超空泡鱼雷命中概率解析方法[J]. 水下无人系统学报, 2022, 30(5): 656-664. doi: 10.11993/j.issn.2096-3920.202111002 Xie Chao, Zhou Jingjun, Wan Yamin, et al. Analytical method for hitting probability of supercavitating torpedo[J]. Journal of Unmanned Undersea Systems, 2022, 30(5): 656-664. doi: 10.11993/j.issn.2096-3920.202111002
[6]	李勐, 代志恒. 直航鱼雷发现概率的解析计算方法[J]. 指挥控制与仿真, 2007, 39(4): 55-59.
[7]	武志东, 于雪泳, 许兆鹏. 潜射鱼雷命中概率的解析计算通式及应用[J]. 水下无人系统学报, 2021, 29(2): 203-209. Wu Zhidong, Yu Xueyong, Xu Zhaopeng. Analytic formula and employment of the hitting probability for sub-launched torpedo[J]. Journal of Unmanned Undersea Systems, 2021, 29(2): 203-209.
[8]	胡星志, 王旭, 江雄, 等. 基于高斯过程回归的高超声速飞行器不确定轨迹预测[J]. 空天技术, 2022(4): 49-61.
[9]	Quinonero-Candela J, Rasmussen C E. A unifying view of sparse approximate Gaussian process regression[J]. The Journal of Machine Learning Research, 2005, 6: 1939-1959.
[10]	Schulz E, Speekenbrink M, Krause A. A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions[J]. Journal of Mathematical Psychology, 2018, 85: 1-16. doi: 10.1016/j.jmp.2018.03.001