Spectrum Sensing Using Cooperative Energy and Matched Filter Detectors in Cognitive Radio

The rapid growth in the population of internet connected devices needs more freer spectrum. Therefore, cognitive radio has previously been presented as a way to solve the issue of limited spectrum resources through making use of spectrum bands that are designated for primary users. This technique enables the secondary user to access the spectrum while the primary user is not utilizing it, without getting involved with the primary user. The main issue for the secondary users when detecting the spectrum is that the primary use is not visible due to complexity of sensing results and poor noise value. In this paper, cooperative energy and matched filter detectors using an adaptive threshold have been proposed to handle this issue. The metrics that have been used to evaluate the performance of the proposed work are the probabilities of detection, misdetection, and false alarm. In addition, we simulate the work with the MATLAB R2020a software and compare it to other related works in the literature.