在一组作战无人机中联合使用假机目标对破坏结果的影响

Q3 Computer Science Radioelectronic and Computer Systems Pub Date : 2022-10-04 DOI:10.32620/reks.2022.3.10
Volodymyr Prymirenko, Andrii Demianiuk, R. Shevtsov, Serhii Bazilo, Petro Steshenko
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引用次数: 0

摘要

本文的主题是联合使用虚假飞机目标作为一组作战无人机的一部分来执行摧毁敌方目标的任务的过程。本文确定了一组作战无人机中虚假飞机目标的最佳数量,以击败目标,达到目标的失败程度和己方作战无人机的可接受损失。科学任务是改进确定一组作战无人机中虚假飞机目标的最佳数量的方法,以击败具有所需失败程度和己方作战无人机可接受损失的目标。为了实现研究论文的目的,执行了以下任务:联合使用虚假飞机目标作为一组作战无人机的一部分,以所需的失败程度击败目标的过程已经正式化;已经开发了一个数学模型,用于确定作为一组作战无人机的一部分的虚假飞机目标的最佳组成,以最小化真实飞机在执行任务期间的损失;基于一个实际例子的条件,对改进方法的功能进行了测试,并证实了相关建议。方法。数学模型使用组合数学和二项式概率分布。获得以下结果。提出了一种改进的方法,它是多功能的,因为一方面,使用它可以确定一组作战无人机中所需的假飞机目标数量,以击败具有所需失败程度和己方作战无人机可接受损失的目标;另一方面,以在使用一定数量的假飞机目标时确定来自该组的真实飞机目标的预测损失水平。结论。有了一种改进的方法和现成的计算公式,就可以根据初始参数预测无人机编队作战使用的可能结果,并证实关于其可能组成的建议。
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The impact of the joint use of false aircraft targets in a group of combat unmanned aerial vehicles on the results of destruction
The subject of the paper is the process of joint use of false aircraft targets as part of a group of combat unmanned aerial vehicles to perform tasks to destroy enemy targets. The current paper determines the optimal number of false aircraft targets in a group of combat unmanned aerial vehicles to defeat targets with the desired degree of their defeat and acceptable losses of own combat unmanned aerial vehicles. The scientific task is to improve the methodology for determining the optimal number of false aircraft targets in a group of combat unmanned aerial vehicles to defeat targets with the desired degree of defeat and acceptable losses of own combat unmanned aerial vehicles. To achieve the purpose of the research paper, the following tasks were performed: the process of joint use of false aircraft targets as part of a group of combat unmanned aerial vehicles to defeat targets with the desired degree of their defeat has been formalized; a mathematical model for determining the optimal composition of false aircraft targets as part of a group of combat unmanned aerial vehicles to minimize the losses of real aircraft during their tasks has been developed; based on the conditions of a practical example, the functioning of the improved methodology has been tested and the relevant recommendations have been substantiated. Methods. The mathematical model uses combinatorics and binomial probability distribution. The following results were obtained. An improved methodology is presented, which is multifunctional since, on the one hand, its use makes it possible to determine the required number of false aircraft targets in a group of combat unmanned aerial vehicles to defeat targets with the desired degree of their defeat and acceptable losses of own combat unmanned aerial vehicles, and on the other hand, to determine the predicted level of losses of real aircraft targets from the group when using a certain number of false aircraft targets. Conclusions. The availability of an improved methodology with ready-made calculation formulas will allow the prediction of possible results of combat use of groups of unmanned aerial vehicles based on the initial parameters and substantiate recommendations on their possible composition.
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来源期刊
Radioelectronic and Computer Systems
Radioelectronic and Computer Systems Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
3.60
自引率
0.00%
发文量
50
审稿时长
2 weeks
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