Research Article
Performance Analysis of Eigenvalue Based Spectrum Sensing under Frequency Selective Channels
@INPROCEEDINGS{10.4108/icst.crowncom.2012.248467, author={Sener Dikmese and Markku Renfors}, title={Performance Analysis of Eigenvalue Based Spectrum Sensing under Frequency Selective Channels}, proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={7}, keywords={energy detector based spectrum sensing eigenvalue based spectrum sensing awgn frequency selective channel and noise uncertainty}, doi={10.4108/icst.crowncom.2012.248467} }- Sener Dikmese
Markku Renfors
Year: 2012
Performance Analysis of Eigenvalue Based Spectrum Sensing under Frequency Selective Channels
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248467
Abstract
Detecting primary signals with very low Signal-to-Noise Ratio (SNR) is a very important problem in cognitive radio (CR) systems. Small parameter uncertainties are unavoidable in any practical system, and especially the noise variance uncertainty has great effect on the performance of the most basic spectrum sensing method, energy detection. This has motivated the need for advanced spectrum sensing algorithms, like eigenvalue based spectrum sensing, which can be used to overcome the effects of parameter uncertainty in very low SNR cases. In this paper we study the effects of channel frequency selectivity, in combination with noise uncertainty, in case of energy detector and eigenvalue based spectrum sensing. It is demonstrated that channel frequency selectivity significantly enhances the performance of eigenvalue based spectrum sensing techniques.