在认知无线网络(CRN)环境中,主用户(PU)发射信号的传输会受到阴影、多径等因素的影响,导致本地单点感知精度不高,协作感知技术成为解决此问题的有效方法.将模糊决策用于协同单点盲感知算法中,提出了基于模糊判决的协同盲感知算法(CBSA-FD).仿真结果表明:CBSA-FD算法具有优良的检测概率和虚警概率性能,有效提高了协同感知的可靠性.
In cognitive radio network environment, the transmission signal of PU is influenced by the multi- path and shadow fading, which can lower the sensing precision. The cooperative sensing technology is a useful method to solve this problem. In this paper, the fuzzy decision is applied to blind sensing algorithm, and we proposed a cooperative blind sensing algorithm (CBSA-FD). The simulation results show that CB- SA-CD has a better performance of detection probability and false alarm probability, and improve the relia- bility of cooperative spectrum sensing effectively.