Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy
Conference: ISWCS 2013 - The Tenth International Symposium on Wireless Communication Systems
08/27/2013 - 08/30/2013 at Ilmenau, Deutschland
Proceedings: ISWCS 2013
Pages: 5Language: englishTyp: PDF
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Authors:
Dikmese, Sener; Gokceoglu, Ahmet; Valkama, Mikko; Renfors, Markku (Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland)
Abstract:
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.