基于双门限能量检测的协作频谱感知算法

为了克服传统能量检测算法的不足，提出了一种基于双门限能量检测的协作频谱感知算法（cooperative spectrum sensing algorithm based on double threshold energy detection, CSBDE）。该算法采用噪声不确定条件下的双门限值作为判决条件，将本地能量检测结果划分为硬判决和软判决。认知基站采用优化的融合准则，首先对所有本地硬判决进行融合，根据需要再进一步对本地软判决进行融合，最终给出全局判决结果。蒙特卡罗仿真结果表明，该算法能够克服噪声不确定性对能量检测的影响，提高了系统的检测性能。

Cooperative spectrum sensing algorithm based on double-threshold energy detection

In order to overcome the deficiencies of traditional energy detection algorithms, a cooperative spectrum sensing algorithm based on double-threshold energy detection (CSBDE) is proposed. The double threshold under noise uncertainty is used as the judgement conditions in the new algorithm. Local energy detection results are divided into hard decision and soft decision. An optimized fusion rule is adapted by the cognitive base station. First, all of the local hard decisions are fused, then the local soft decisions are fused if necessary, and finally the global judging decision is made in the cognitive base station. The Monte-Carlo simulation results demonstrate that the proposed algorithm is able to overcome the noise uncertainty on the energy detection and improve the detection performance of the system.