Fractional Low Order Cyclostationary Spectrum Sensing Based on Eigenvalue Matrix in Alpha-Stable Distribution Noise

The spectrum sensing performance of traditional method will be degraded in non-Gaussian background. Fractional low order statistics has the ability of inhibiting alpha-stable distribution noise. By analyzing the fractional low order cyclostationary spectrum sensing algorithm; we find that the correlation of cyclic autocorrelation function vector have a certain amount of loss. In this paper, fractional low order cyclostationary detection based on eigenvalue matrix is proposed. This method retains the correlation information of the cyclic autocorrelation function. In addition, the method reduces the computational complexity. Simulation results show that the detection performance has been improved in alpha-stable distribution noise.