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Cooperative spectrum sensing technology based on SNR weighted

XU Cheng-qian

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Abstract

According to the SNR of the cognitive users is different in the wirelss environment,a cooperative spectrum sensing method based on the SNR-weighted is proposed.Cognitive users receive the value of SNR according to the difference of distance fading factor between the cognitive users and the primary user,then evaluate the corresponding weight using recursive method.Fusion center gives the final decisive result by weight fusion.Simulation results indicate that the algorithm can improve the detection probability of the primary users.The detection performance is also better than that of the tradional hard decision method.

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What this paper is about

According to the SNR of the cognitive users is different in the wirelss environment,a cooperative spectrum sensing method based on the SNR-weighted is proposed.Cognitive users receive the value of SNR according to the difference of distance fading factor between the cognitive users and the primary user,then evaluate the corresponding weight using recursive method.Fusion center gives the final decisive result by weight fusion.Simulation results indicate that the algorithm can improve the detection probability of the primary users.The detection performance is also better than that of the tradional hard decision method.

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Available abstract

According to the SNR of the cognitive users is different in the wirelss environment,a cooperative spectrum sensing method based on the SNR-weighted is proposed.Cognitive users receive the value of SNR according to the difference of distance fading factor between the cognitive users and the primary user,then evaluate the corresponding weight using recursive method.Fusion center gives the final decisive result by weight fusion.Simulation results indicate that the algorithm can improve the detection probability of the primary users.The detection performance is also better than that of the tradional hard decision method.

Key concepts: Fusion center, Cognitive radio, Fading, Computer science, Spectrum (functional analysis), Fusion, Cognition, Value (mathematics)

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