Spectrum sensing with random arrivals of primary users by using multiple antennas

Spectrum sensing is the fundamental technology of Cognitive Radio (CR). This paper proposes a novel multiple-antenna based spectrum sensing method with random arrivals of primary users (PUs). The method first constructs a local test statistic for each antenna based on the assumption that the PU is randomly arriving, and then calculates the estimated optimum coefficient for every local test statistic and finally gets the total test statistic by linearly combing the local test statistics and the estimated optimum coefficients. Given false alarm probability, the proposed method calculates the corresponding threshold according to Neyman-Pearson (N-P) criteria and makes the final decision by comparing the total test statistic with the threshold. Simulation results prove the validity and the superiority of the proposed method when the PU is arriving randomly. Simulation results show that the proposed method is superior to the conventional energy detection method with random arrivals of PUs, about 1 dB advantage in performance.