基于不同技术的反无人机系统:架构、威胁和挑战

Y. N. Jurn, S. A. Mahmood, Jaafar A. Aldhaibani
{"title":"基于不同技术的反无人机系统:架构、威胁和挑战","authors":"Y. N. Jurn, S. A. Mahmood, Jaafar A. Aldhaibani","doi":"10.1109/ICCSCE52189.2021.9530992","DOIUrl":null,"url":null,"abstract":"the drones or unmanned aerial vehicles (UAVs), are enabling unlimited applications for different services. Meanwhile, several threats are implemented due to their misuse and misapply. Therefore, for this reason and others, the problems of detection and identification of different UAVs are the main challenges of recent researches. The drones have different operating techniques which make the anti-drone technologies varies from each other related to capabilities for detection and identifications of drone type as well as tracking it. In this paper, different anti-drones technologies are explained and discussed for the purpose of detection and tracking drone threats in the airspace. As well as, the key factors to select best anti-drone technique are discussed and presented for different facilities. T33he proposed anti-drone system is presented based on the RF detection technique and CNN algorithm. Finally, the recommendations for up-to-date design anti-drone system are presented as future work for our research.","PeriodicalId":285507,"journal":{"name":"2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Anti-Drone System Based Different Technologies: Architecture, Threats and Challenges\",\"authors\":\"Y. N. Jurn, S. A. Mahmood, Jaafar A. Aldhaibani\",\"doi\":\"10.1109/ICCSCE52189.2021.9530992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"the drones or unmanned aerial vehicles (UAVs), are enabling unlimited applications for different services. Meanwhile, several threats are implemented due to their misuse and misapply. Therefore, for this reason and others, the problems of detection and identification of different UAVs are the main challenges of recent researches. The drones have different operating techniques which make the anti-drone technologies varies from each other related to capabilities for detection and identifications of drone type as well as tracking it. In this paper, different anti-drones technologies are explained and discussed for the purpose of detection and tracking drone threats in the airspace. As well as, the key factors to select best anti-drone technique are discussed and presented for different facilities. T33he proposed anti-drone system is presented based on the RF detection technique and CNN algorithm. Finally, the recommendations for up-to-date design anti-drone system are presented as future work for our research.\",\"PeriodicalId\":285507,\"journal\":{\"name\":\"2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSCE52189.2021.9530992\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSCE52189.2021.9530992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

无人机或无人驾驶飞行器(uav)为不同的服务提供了无限的应用。同时,由于这些威胁的误用和误用,导致了一些威胁的实现。因此,基于这一原因和其他原因,不同无人机的检测和识别问题是当前研究的主要挑战。无人机具有不同的操作技术,这使得反无人机技术在检测和识别无人机类型以及跟踪无人机的能力方面彼此不同。本文对不同的反无人机技术进行了解释和讨论,目的是检测和跟踪空域中的无人机威胁。讨论了针对不同设施选择最佳反无人机技术的关键因素。提出了一种基于射频检测技术和CNN算法的反无人机系统。最后,对反无人机系统的最新设计提出了建议,作为我们未来的研究工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anti-Drone System Based Different Technologies: Architecture, Threats and Challenges
the drones or unmanned aerial vehicles (UAVs), are enabling unlimited applications for different services. Meanwhile, several threats are implemented due to their misuse and misapply. Therefore, for this reason and others, the problems of detection and identification of different UAVs are the main challenges of recent researches. The drones have different operating techniques which make the anti-drone technologies varies from each other related to capabilities for detection and identifications of drone type as well as tracking it. In this paper, different anti-drones technologies are explained and discussed for the purpose of detection and tracking drone threats in the airspace. As well as, the key factors to select best anti-drone technique are discussed and presented for different facilities. T33he proposed anti-drone system is presented based on the RF detection technique and CNN algorithm. Finally, the recommendations for up-to-date design anti-drone system are presented as future work for our research.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信