Primary User Detection in Cognitive Radio Networks Over Fading Channel Using Compressed Sensing

Compressed spectrum sensing has gained considerable importance among researchers in the field of concern as a solution for wideband cognitive radio networks. Recently, published works on detecting primary users' signals presented sustainable results by using small compression ratios over the AWGN channel. To the best of our knowledge, since the performance of compressed measurements based detection has not been investigated yet over fading channels, the current study, therefore, presents the performance of compressed measurements based energy detection over Rayleigh fading channel. The proposed work has been implemented by means of MATLAB software. In comparison with the traditional compressed energy detection over the Rayleigh fading channel, the results show that our proposed technique is better in detection performance.