An improved cooperative spectrum sensing algorithm based on random matrix theory

The combination of random matrix theory and cooperative spectrum sensing is one of the research hotspots of spectrum sensing. However, in multi-cognitive-user circumstance, the general combination algorithm has low detection performance under the case of few cognitive users. In this study, an improved CMME (Cooperation between the Maximum and Minimum Eigenvalue) based cooperative spectrum sensing algorithm was proposed. Through decomposing the signal achieve the goal of increase the number of logical sensed signals. The improved algorithm achieve the target of increasing signal related information. Moreover, the simulation results show that the proposed algorithm has a better perceived performance than classical CMME algorithm. © 2013 Asian Network for Scientific Information.