DOI: 10.3724/SP.J.1146.2009.00517

Journal of Electronics & Information Technology (电子与信息学报) 2010/32:1 PP.129-134

DET Cooperative Spectrum Sensing Algorithm Based on Random Matrix Theory

In this paper, the DET (Double Eigenvalue Threshold) cooperative spectrum sensing algorithm is proposed through analyzing maximum eigenvalue distribution of the covariance matrix of the received signals by means of random matrix theory. DET cooperative sensing algorithm needs neither the prior acknowledge of the signal transmitted from primary user, nor the noise power in advance. Simulation results show that the proposed scheme can gain higher sensing performance with a few of secondary users and is more robust to the noise uncertainty compared with the conventional sensing schemes.

Key words:Cooperative spectrum sensing,Random matrix theory,Sample covariance matrix,Maximum eigenvalue

ReleaseDate:2014-07-21 15:07:15

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