{"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}
引用次数: 7
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.