2026-10-19T01:12:01Zhttps://ebyu-rdlopen.rawdatalibrary.net/oai/request

oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/168062026-10-18T20:38:55Zopenairedrivercom_ebyu_10000col_ebyu_10001

Studentized Extreme Eigenvalue Based Double Threshold Spectrum Sensing Under Noise UncertaintyCiflikli, CebrailIlgin, FatihYavuzcognitive radiocovariance matrixnoise uncertaintyspectrum sensingTracy-Widom distributionEngineering, MultidisciplinaryEngineeringThe 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.UNIV OSIJEK, TECH FAC2020Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/16806https://doi.org/10.17559/tv-201704291332471330-3651enTEHNICKI VJESNIK-TECHNICAL GAZETTEinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/16806