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DET Cooperative Spectrum Sensing Algorithm Based on Random Matrix Theory |
Cao Kai-tian,Yang Zhen |
The Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China |
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Abstract 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.
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Received: 10 April 2009
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Corresponding Authors:
Cao Kai-tian
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