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

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 introdu...

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Bibliographic Details
Published in水下无人系统学报 Vol. 32; no. 2; pp. 368 - 375
Main Authors Bin REN, Chao XIE
Format Journal Article
LanguageChinese
Published Science Press (China) 01.04.2024
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Summary: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.
ISSN:2096-3920
DOI:10.11993/j.issn.2096-3920.2023-0113