Performance of Energy Detection based Spectrum Sensing using Diversity Techniques over Rayleigh Fading Channel

Energy Detection based Spectrum Sensing technique plays major role because of its low complexity. Performance of Energy detection based spectrum sensing of unknown signals can be achieved over Rayleigh fading channel by deriving its detection probability with and without considering diversity techniques. Detection probabilities versus average Signal-to-Noise Ratio (SNR) plots are obtained for Rayleigh, Nakagami-m and Rician fading channels for the no-diversity case. Similar plots for Rayleigh channel are plotted using various diversity techniques such as Equal Gain Combining (EGC), Switch and Stay Combining (SSC) and Selection Combining (SC). Both the above cases are compared. The results show that EGC technique has better performance compared to other diversity techniques as its detection probability is high, at low SNR values (10dB). For SNR = 10dB, the difference in Pd for EGC and SSC is approximately 0.25 (0.92-0.67) and that for SSC and SC is 0.3 (0.67-0.37) and it is 0.22 (0.37-0.15) for SC and No-diversity. KeywordsCognitive radio, Spectrum Sensing, Energy Detection, Detection Probability, average Signal to noise ratio.