Joint spectrum sensing based on variance and correlation analysis

In this paper, a novel detection criterion is proposed to decide whether primary user (PU) exists based on joint analysis of the variance and correlation for observation signal, considering a correlation within the observed signal. Simultaneously, the corresponding detection thresholds are also designed. Simulation experiments verify the proposed method suits for the observation signal in Additive White Gaussian Noise (AWGN), Rayleigh, Rician channel and the detection performance is improved greatly.