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Cognitive radio (CR) is a form of wireless communication in which a transceiver can wisely detect communication channels that are in use and those which are not, and immediately move into vacant channels while avoiding occupied ones. In such systems, spectrum sensing (SS) is a crucial operation. It consists to detect the available frequency bands. Many spectrum sensing techniques are presented in...
In this paper, we are interested to the implementation of the spectrum sensing (SS) operation based on a real signal of the FM radio and using a random sampling mode. This application consists on the realization of the spectrum sensing operation based on the energy detector (ED) method combined with random sampling. The analyzed real signal is an FM radio signal captured under GNU-Radio. This application...
In this paper, we propose an Energy Detector (ED) using random sampling for spectrum sensing applications. This approach is performed in cognitive radio to analyze the occupancy of radio frequency spectrum. The performance of the proposed approach is evaluated in term of the false alarm probability and compared to the uniform sampling case. The application of the random sampling presents more flexibility...
In radiomobile contexte, radio frequency spectrum is a ressource that needs to be used with appropriate efficiency. This can be achieved by the mean of spectrum sensing operation. This function consists to analyze the occupancy of the radio frequency spectrum in order to detect which bands are unused. This concept is largely appreciated in cognitive radio where more flexibility is required to adapt...
In this article, we propose a new structure of the digital front-end (DFE) based on the iterative algorithm ADPW (Adaptive Weights Method) for the channel selection (CS). The application is made in the context of a software radio system and using a random sampling method to perform sample rate conversion (SRC). The performance in terms of the quality of the reconstructed channel, the speed of convergence,...
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