Simulation of the attack helicopter Mil Mi-24 conducting anti-surface air operations in support of a battalion task group

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Z. Korecki, Tomas Hoika, Jiří Ulvr, M. Janošek, Matúš Grega
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引用次数: 1

Abstract

The paper presents an experiment of air support of ground units at the level of battalion task force in an offensive operation. Statistical techniques were used in this approach to estimate the outcomes of the operation from the data generated by a simulation model. The experiment was conducted with the support of the Masa SWORD simulation technology for different scenarios involving the pilot characteristics, firing distances, range of air defense, and the use of different unit sensor capacities. As part of the different scenarios, we present sensor results for use in different attack scenarios with different enemy capabilities at the tactical level and the impact of air support of the battalion’s task force in destroying a company-sized enemy. The experiment allows evaluation of different pilot training levels, stress levels, and other climatic influences. These factors provide information on when and how (with what desired effect) a strike can be executed, by what means (systems) it is to be executed, and what the constraints are in executing it. The constraints are imposed by electronic warfare (EW), level of camouflage, and air defense. We have determined using the Masa SWORD simulation program that the use of helicopters to support the battalion task group will significantly reduce the loss of life and reduce the time to destroy the enemy.
模拟攻击直升机Mi-24进行反水面空中作战,以支持一个营任务组
本文介绍了在进攻作战中对营级特遣部队地面部队进行空中支援的试验。该方法采用统计技术,根据模拟模型产生的数据估计手术结果。在马萨剑仿真技术的支持下,针对不同的飞行员特性、射击距离、防空范围、不同单元传感器容量等不同场景进行了实验。作为不同场景的一部分,我们展示了在战术层面上不同敌人能力的不同攻击场景中使用的传感器结果,以及营特遣部队在摧毁连大小敌人时空中支援的影响。该实验可以评估不同的飞行员训练水平、压力水平和其他气候影响。这些因素提供了关于何时以及如何(以期望的效果)执行打击的信息,通过什么手段(系统)执行打击,以及执行打击的约束是什么。这些限制是由电子战(EW)、伪装水平和防空施加的。我们已经通过马萨之剑模拟程序确定,使用直升机支援营任务组将大大减少生命损失并缩短摧毁敌人的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
40
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