A Robust Blind Detection Algorithm for Cognitive Radio Networks With Correlated Multiple Antennas

This letter concentrates on the spectrum sensing problem for secondary user equipped with a large number of low-correlated antennas, and a robust blind detection method based on Ljung-Box (LB) test is proposed, which leverages the autocorrelation function of the received time series to evaluate the signal existence. In the scenarios where the correlation between receive antennas is low, simulation results illustrate that the proposed LB-test method attains a significant detection performance improvement compared with the existing covariance-based methods in the time-varying Rayleigh fading channel.