Application of Cost-Effective Acoustic Intelligence to Protect Critical Facilities from Drone Attacks

S. Pohasii, Valeria Baranova, Oleksandr Bilotserkivskyi, Olha Haponenko, O. Serhiienko, B. Vorobiov
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引用次数: 2

Abstract

Unauthorized use of unmanned aerial vehicles (UA Vs) for surveillance of important objects, carrying out terrorist attacks and sabotage, throwing prohibited objects (weapons, drugs) has updated the search for cost-effective and technically feasible solutions to counter UA Vs. An analysis of materials on this topic showed that the effectiveness of defeating all types of UA Vs by existing means of air defense and electronic warfare is quite high. However, the problem of countering small UA Vs, based on the experience of the war in Ukraine, is not resolved. The purpose of the article is to analyze the UA V, as an object of detection and countermeasures, using acoustic means of airspace control with minimal economic costs. The article presents the results of the analysis of the UAVas an object of detection and the issuance of target designations by means of acoustic observation.
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低成本声学智能在保护关键设施免受无人机攻击中的应用
未经授权使用无人机(UA Vs)监视重要目标,进行恐怖袭击和破坏,投掷违禁物品(武器,毒品),已经更新了对成本效益和技术上可行的解决方案的搜索,以对抗UA Vs.对该主题的材料分析表明,通过现有的防空和电子战手段击败所有类型的UA Vs的有效性相当高。然而,根据乌克兰战争的经验,对抗小型UA v的问题尚未解决。本文的目的是分析UA V作为探测和对抗的对象,利用声学手段以最小的经济成本进行空域控制。本文介绍了用声观测方法对无人机的探测目标进行分析和目标识别的结果。
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