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Based on conventional single-threshold energy detection algorithm, we put forward a double-threshold version in cognitive radio system, and then, we analyze the detection probability, false alarm probability, miss probability and their relationships. For further research, we define two parameters for performance evaluation: the probability of collision between the cognitive user and the primary user,...
In cognitive radio systems, secondary users should determine correctly whether the primary user is absent or not in a certain spectrum within a short detection period. Traditional spectrum sensing schemes based on fixed threshold are sensitive to noise uncertainty, a fractional fluctuate of average noise power in a short time will lead to the accuracy of spectrum detection decreasing seriously. In...
As is well-known, cooperation among cognitive users can improve the accuracy of spectrum detection in cognitive radio systems. In this paper, based on OR-rule, a cooperative double-threshold energy detection algorithm is proposed. Theoretical analysis and simulation results indicate that this strategy can improve the spectrum detection probability significantly.
In this paper, an autoregressive channel prediction model is presented for cognitive radio(CR) systems to estimate spectrum holes. This model adopts a second-order autoregressive process and a Kalman filter. A Bayes risk criterion for spectrum hole detection is presented by considering interference temperature and channel idle probability. Theoretical analysis and simulations show that CR systems...
In this paper, we first discuss multicarrier modulation (MCM) based cognitive radio (CR) systems. A maximum likelihood ratio spectrum detection model is then presented to detect the occurrence and spectrum gap of licensed users (LUs) signals. Next, we theoretically study the proposed model by deducing an optimal decision region and the detection probability and false alarm probability. Simulation...
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