Spectrum sensing for cognitive radio with selection combining receiver antenna diversity

In this study the performance analysis of energy detector method for the spectrum sensing model in cognitive radio networks over Rayleigh fading channel with selection combining of the receiver diversity technique is examined. Here, energy detector model for non-cooperative spectrum sensing is investigated in which Chirp-z transform is used. The Chirp-z transform is proposed as an efficient algorithm to increase the dispersed frequency spectrum utilization, provides a flexibility to work only on the frequency spectrum of interest. The general closed form mathematical equation of the optimal detection threshold for selection combining receiver diversity technique is derived over Rayleigh fading channel. The performance analysis of the proposed system model is investigated with the optimal detection threshold value and presented through ROC curve for different SNR values. The achieved results validate the spectrum sensing performance increase in selection combining of the receiver antenna diversity technique, compared to the no diversity case.