Spectrum sensing with an improved Energy detection

Opportunistic spectrum access is a critical application in the context of cognitive radio, and knowing that the detection of free bands in the spectrum is the key to such application. It has shown that the detection of energy is the most convenient method, in the sense that there is no a priori information about the primary user. In this work, The implementation of the energy detection technique has been done in MatLab for both models, AWGN and Rayleigh channels. The simulation confirmed the theoretical results, which gives that the error level in AWGN channel is less than a Rayleigh channel, and it is also verified that the performance of the detector is independent of the type of modulation. As the threshold used in this method depends on the environmental noise, we propose in this paper dynamic threshold selection to increase the probability of detection.