基于动态自适应双门限能量检测的序贯协作频谱感知算法

针对在一般高斯白噪声环境中，传统的双门限能量检测频谱感知算法忽略确定两门限之间的感知信息的问题，该文提出一种基于动态自适应双门限能量检测的序贯协作频谱感知算法。新算法以最优化检测概率为目标，采用序贯方式对协作用户进行动态自适应双门限建模，并对处于两门限之间的接收能量值进行软判决。进一步地，新算法能自适应动态调整门限大小和各判决区域协作用户数，以达到最大化检测概率和最优化受试工作特征曲线的目的。理论分析和仿真结果表明，与经典的双门限能量检测算法相比，提出算法具有更优的检测概率。

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.