Dynamic Double Energy Thresholds Detection for Cooperative Spectrum Sensing in Cognitive Radio

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Mobility
Format: PDF
In this paper, the authors suggest a cooperative spectrum sensing using dynamic double thresholds energy detection and adaptive grid search to obtain the highest probability detection. The proposed double thresholds are adaptive to noise fluctuation. A new fusion method combined of weighting and voting is used in cooperative sensing. Further, in order to obtain the best sensing performance, they firstly use adaptive grid search to find the optimal double thresholds. Simulation results show that the proposed method has excellent robustness to noise fluctuation and good sensing performance even under low Signal to Noise Ratio (SNR).
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