Cooperative spectrum sensing based on generalized likelihood ratio test under impulsive noise circumstances

We propose nonlinear schemes for the spectrum sensing in cooperative cognitive radio networks under impulsive noise circumstances. By jointly employing the order statistics, generalized likelihood ratio test, and counting rule in the framework of spectrum sensing, the proposed scheme exhibits a better performance than the conventional counterparts. From simulation results, it is confirmed that the proposed scheme provides significant performance improvements over the conventional schemes.