Authors : Ganem A.B.O. Ganem and Mohiedin Wainakh
Abstract: Cognitive radio has been considered as a solution to the problem of radio spectrum scarcity and spectral ineffectiveness. Spectrum sensing is one of the most important topics in cognitive radio. Many spectrum sensing algorithms have been presented with differences in methodology and accordingly their performance. In this study, we select spectrum sensing algorithm based on correlation coefficient in the OFDM signals. The detection threshold corresponding to the test statistic has been calculated using constant false alarm rate and a method for calculating the SNR-adapted detection threshold has been suggested throw minimizing the average of total error probability. A numeric simulation has been made in addition to plotting the changes of detection probability over SNR which resulted in significant enhancement in the performance of the detector using adaptive threshold compared to fixed one, where the gain was about 6 dB at probability of detection equals to 0.6 when using the adaptive threshold compared to the use of the fixed threshold.
Ganem A.B.O. Ganem and Mohiedin Wainakh, 2020. Adaptive Threshold for Spectrum Sensing in Cognitive Radio. Journal of Engineering and Applied Sciences, 15: 2966-2970.