Bilge International Journal of Science and Technology Research

Yazarlar: Cebrail ÇİFLİKLİ, Fatih Yavuz ILGIN

Konular:Mühendislik, Elektrik ve Elektronik

Anahtar Kelimeler:Detection theory,Cognitive radio,Spectrum sensing,Tracy-widom distribution

Özet: Nowadays, due to spectrum inadequacy, it is necessary to use the spectrum of the scarce source in the most efficient way. Cognitive radio systems are at the forefront of important technologies that meet this need. Eigenvalue-based detection methods for cognitive radio systems are the reason for much preference because of the low cost of computation. The purpose of this study is to perform detailed performance analyzes of eigenvalue detection methods for cognitive radio systems. For the multi-antenna communication systems in the work done, detection methods are used to detect the presence of the primary user mark in a certain spectrum area. It has been tried to perceive the spectrum in the most accurate way by using randomly generated zero mean primary user and noise signals. In the method, the communication signals received by multiple antennas are spectrally perceived using eigenvalues of covariance matrices. It has been observed that the largest - smallest eigenvector detection method gives more successful results than the other methods (generalized maximum likelihood method, greatest eigenvalue - energy detection method, energy detection method) in simulations made.

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