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Izvorni znanstveni članak
https://doi.org/10.17559/TV-20161217120341

Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue

Cebrail Çiflikli ; Erciyes University, Vocational High School, Electronic and Automation Department, Kayseri, Turkey
Fatih Yavuz Ilgin   ORCID icon orcid.org/0000-0002-7449-4811 ; Erzincan University, Vocational High School, Electronic and Automation Department, Fatih Mahallesi, 726. Sk., 24100 Merkez/Erzincan, Turkey

Puni tekst: engleski, pdf (542 KB) str. 100-106 preuzimanja: 782* citiraj
APA 6th Edition
Çiflikli, C. i Ilgin, F.Y. (2018). Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue. Tehnički vjesnik, 25 (1), 100-106. https://doi.org/10.17559/TV-20161217120341
MLA 8th Edition
Çiflikli, Cebrail i Fatih Yavuz Ilgin. "Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue." Tehnički vjesnik, vol. 25, br. 1, 2018, str. 100-106. https://doi.org/10.17559/TV-20161217120341. Citirano 16.06.2021.
Chicago 17th Edition
Çiflikli, Cebrail i Fatih Yavuz Ilgin. "Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue." Tehnički vjesnik 25, br. 1 (2018): 100-106. https://doi.org/10.17559/TV-20161217120341
Harvard
Çiflikli, C., i Ilgin, F.Y. (2018). 'Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue', Tehnički vjesnik, 25(1), str. 100-106. https://doi.org/10.17559/TV-20161217120341
Vancouver
Çiflikli C, Ilgin FY. Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue. Tehnički vjesnik [Internet]. 2018 [pristupljeno 16.06.2021.];25(1):100-106. https://doi.org/10.17559/TV-20161217120341
IEEE
C. Çiflikli i F.Y. Ilgin, "Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue", Tehnički vjesnik, vol.25, br. 1, str. 100-106, 2018. [Online]. https://doi.org/10.17559/TV-20161217120341

Sažetak
The eigenvalue based detection is a low-cost spectrum sensing method that detects the presence of primary user signal at a desired frequency. In this study, the largest eigenvalue distribution used in eigenvalue based detection methods is expressed using a new centering and scaling coefficients adjustment. Thus, the detection probability (Pd) and false detection probability (Pfa) equations for the maximum-minimum eigenvalue (MME), maximum eigenvalue to trace (MET) and maximum eigenvalue-geometric mean (ME-GM) have been obtained again. Weibull fading channels are the best model for wireless communication. For this reason, the studies were simulated in Weibull fading channels and analysed in detail with receiver operating characteristic curves (ROC). The results were compared with traditional methods and found to be more accurate.

Ključne riječi
blind spectrum sensing; eigenvalue based spectrum sensing; Tracy-Widom distribution; Weibull fading

Hrčak ID: 193601

URI
https://hrcak.srce.hr/193601

Posjeta: 1.114 *