A Sequential Cooperative Spectrum Sensing Algorithm Based on Dynamic Adaptive Double-threshold Energy Detection

In order to overcome the problem of ignoring the sensing information between the two fixed thresholds for double-thresholds energy detection algorithm, the sequential cooperative sensing algorithm based on dynamic adaptive double-threshold energy detection is proposed. Since the soft decision between the two dynamic adaptive double thresholds is used for optimizing the probability of detection, it takes sequential cooperative sensing algorithm to model the adaptive double-threshold regions. Furthermore, the proposed algorithm can adaptively adjust the thresholds values and the number of collaborative users for each decision region to optimize the probability of detection and receiver operating characteristics curve. Simulation results show that the proposed algorithm has better performance for the detection capability, compared with other double thresholds sensing algorithms.