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This paper a novel and efficient wideband sensing algorithm based on compression and reconstruction of the covariance matrix of the signal from the covariance matrix of the acquired samples is proposed, it allows users to sense the cognitive spectrum without a priori knowledge of signal characteristics in the radio environment. Simulation results show that the proposed method allows estimating the...
Nowadays, Cognitive Radio (CR) is projected as the technology that will maximize the utilization of the spectrum resources in next generation wireless systems. Therefore, the Spectrum Sensing (SS) is the key function, which allows CR to know the available spectrum resources of an interest band. Nevertheless, one of the major problems in the SS is the big amount of samples that are processed in the...
Nowadays, Cognitive Radio (CR) is projected as the technology that will maximize the utilization of the spectrum resources in next generation wireless systems. Therefore, the Spectrum Sensing (SS) is the key function, which allows CR to know the available spectrum resources of an interest band. Nevertheless, one of the major problems in the SS is the big amount of samples that are processed in the...
In this paper, a novel wideband spectrum sensing algorithm based on Compressive Sensing (CS) and reconstruction of second order signal statistics from covariance matrix of the acquired samples for Cognitive Radio (CR) systems is presented. This allows cognitive users to sense the spectrum without apriori knowledge of signal characteristics in the radio environment by minimizing the amount of samples...
In this paper is proposed a methodology for measuring the electric field strength in two types of environments: rural and suburban campuses of the University of Quindío from the ITU-R P.1406-1 recommendation. This recommendation proposes approximately 36 measurements at equal intervals over a distance of about 40 wavelengths, to obtain a median accurate to within 1 dB with 90% probability in the measurement...
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