Detailed Information

Cited 13 time in webofscience Cited 14 time in scopus
Metadata Downloads

Position Tracking Techniques Using Multiple Receivers for Anti-Drone Systems

Full metadata record
DC Field Value Language
dc.contributor.authorShin, Jae-Min-
dc.contributor.authorKim, Yu-Sin-
dc.contributor.authorBan, Tae-Won-
dc.contributor.authorChoi, Suna-
dc.contributor.authorKang, Kyu-Min-
dc.contributor.authorRyu, Jong-Yeol-
dc.date.accessioned2022-12-26T10:46:11Z-
dc.date.available2022-12-26T10:46:11Z-
dc.date.issued2021-01-
dc.identifier.issn1424-8220-
dc.identifier.issn1424-3210-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/4292-
dc.description.abstractThe need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target's location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose two tracking algorithms, depending on the estimation method and also apply the memory process, improving the tracking performance by using stored previous movement information. We evaluate the proposed system's performance in terms of the average number of movements that are required to track and the tracking success rate.-
dc.format.extent14-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titlePosition Tracking Techniques Using Multiple Receivers for Anti-Drone Systems-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/s21010035-
dc.identifier.scopusid2-s2.0-85098670763-
dc.identifier.wosid000606187700001-
dc.identifier.bibliographicCitationSENSORS, v.21, no.1, pp 1 - 14-
dc.citation.titleSENSORS-
dc.citation.volume21-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage14-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordAuthordrone position tracking-
dc.subject.keywordAuthormultiple Bluetooth receivers-
dc.subject.keywordAuthortracking algorithm-
Files in This Item
There are no files associated with this item.
Appears in
Collections
해양과학대학 > 지능형통신공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ryu, Jong Yeol photo

Ryu, Jong Yeol
IT공과대학 (AI정보공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE