Wishart and pseudo Wishart matrix Eigenvalue distributions for Cooperative Cognitive Radio sensing

In this paper, Cognitive Radio sensing Based on the joint distribution of pseudo WIshart matrix Eigenvalues (CRAB-WISE) is extended to include Wishart matrix based sensing to improve the performance of detecting a primary user signal in an interweave CR scenario. The resulting filter-bank based scheme is applied in a cooperative sensing approach where J users transmit their individual sensing decisions to a fusion center applying different combining methods for the joint decision. The performance of the scheme is evaluated for different system parameter values including wireless channels with Nakagami-m fading. It turns out that the extended sensing approach outperforms CRABWISE with and without cooperation. Furthermore, cooperation leads to a substantial improvement as compared to the non-cooperative case in the aforementioned fading channels.