Improvements on Transient Signal Detection for Rf Fingerprinting
| dc.contributor.author | Ali, Aysha M. | |
| dc.contributor.author | Uzundurukan, Emre | |
| dc.contributor.author | Kara, Ali | |
| dc.contributor.other | Department of Electrical & Electronics Engineering | |
| dc.contributor.other | Airframe and Powerplant Maintenance | |
| dc.contributor.other | 15. Graduate School of Natural and Applied Sciences | |
| dc.contributor.other | 13. School of Civil Aviation (4-Year) | |
| dc.contributor.other | 01. Atılım University | |
| dc.date.accessioned | 2024-10-06T11:00:12Z | |
| dc.date.available | 2024-10-06T11:00:12Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The detection of the transient signal plays a significant role in RF fingerprinting for transmitter devices. This paper proposes modifications on two transient signal detection methods, namely, Bayesian change point detection and phase based detection. For initial tests, Bluetooth signals captured in the laboratory are used for performance analysis of the proposed methods. Preliminary results show that the proposed methods can be used in RF fingerprinting of wireless devices. | en_US |
| dc.description.sponsorship | Atilim University [LAP-C-1617-18] | en_US |
| dc.description.sponsorship | This work Was supported by Atilim University tinder the grant number LAP-C-1617-18. | en_US |
| dc.identifier.isbn | 9781509064946 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/9086 | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Wireless networks | en_US |
| dc.subject | Bluetooth signals | en_US |
| dc.subject | RF Fingerprinting | en_US |
| dc.subject | Transient signal detection | en_US |
| dc.title | Improvements on Transient Signal Detection for Rf Fingerprinting | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Uzundurukan, Emre | |
| gdc.author.institutional | Kara, Ali | |
| gdc.author.wosid | Kara, Ali/R-8038-2019 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Atılım University | en_US |
| gdc.description.departmenttemp | [Ali, Aysha M.; Uzundurukan, Emre; Kara, Ali] Atilim Univ, Dept Elect & Elect Engn, Ankara, Turkey | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.identifier.wos | WOS:000413813100280 | |
| gdc.wos.citedcount | 0 | |
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