Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy
Konferenz: ISWCS 2013 - The Tenth International Symposium on Wireless Communication Systems
27.08.2013 - 30.08.2013 in Ilmenau, Deutschland
Tagungsband: ISWCS 2013
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Dikmese, Sener; Gokceoglu, Ahmet; Valkama, Mikko; Renfors, Markku (Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland)
Inhalt:
Eigenvalue-based spectrum sensing methods have been proposed for advanced cognitive radios to solve the low SNR and noise uncertainty challenges. One very crucial drawback of eigenvalue based spectrum sensing techniques is their high computation complexity. In this paper, power methods for eigenvalue computation are studied with the proposed energy with maximum eigenvalue (EMaxE) detection as potential methods for reduced complexity.