Studentized Extreme Eigenvalue Based Double Threshold Spectrum Sensing Under Noise Uncertainty

Autor:	Cebrail Çiflikli, Fatih Yavuz Ilgin
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	cognitive radio covariance matrix noise uncertainty spectrum sensing Tracy-Widom distribution Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Tehnički Vjesnik, Vol 27, Iss 2, Pp 353-357 (2020)
Druh dokumentu:	article
ISSN:	1330-3651 1848-6339
DOI:	10.17559/TV-20170429133247
Popis:	The eigenvalue based spectrum sensing is a low-cost spectrum sensing method that detects the presence of the licensed user signal in desired frequency. Traditional single-threshold eigenvalue sensing methods, which are widely used in the literature, can exhibit inadequate performance under low SNR and noise uncertainty. Therefore, in this study an eigenvalue-based spectrum sensing method is proposed using a double threshold with the studentized extreme eigenvalue distribution function. The results that threshold values obtained for the proposed method were simulated in Rayleigh fading channels. The results were compared with traditional methods and they were observed to be more accurate.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/090498e6b0bf4038a3090e80f4336456 Zobrazit plný text záznamu View record in DOAJ