Multiantenna Spectrum Sensing for Correlated Signal in Spatially Correlated Noise Environments

The multiantenna spectrum sensing (MSS) problem for correlated signal is addressed in this correspondence. First, the zero-lag and non-zero-lag covariance matrices are established, respectively, to capture the correlation feature of primary signals. Then, two scenarios are considered: 1) the noises at different antennas are spatially white; 2) the noises at different antennas are spatially correlated. Afterward, two variants of the covariance detection method are devised to detect the presence of primary user. Also, we derive the approximate closed-form expressions to calculate the decision thresholds of the proposed two methods. Simulation results are presented to demonstrate the superiority of the proposed two methods over the conventional MSS methods.