基于最优计数准则的合作频谱感知

Cooperative spectrum sensing based on optimal counting rule

为了使基于计数准则判决融合的合作频谱感知达到最优性能,从理论上研究了本地判决包含的信息量与次用户(SU)接收信噪比的关系,并指出了达到最优计数准则融合的条件。在此基础上,提出了一个基于最优计数融合准则的算法,能够将SU按照信噪比排序,并排除会降低合作感知性能的SU。计算结果和仿真数据表明理论分析是正确的,所提算法也能够很好地筛选接收信噪比高的节点,达到实现提高合作感知性能的目的。

To obtain the optimal performance of the cooperative spectrum sensing based on counting rule decision fusion,the relation between the information contained in local decision and received signal-to-noise ratio of secondary user（SU） is studied theoretically. The condition with which the optimal decision fusion can be achieved is given. An algorithm is proposed to sort the SUs and exclude those whose signal-to-noise ratio are lower than a threshold from cooperative scheme. The results of calculation verified the correctness of our theorectical analysis. The simulation results illustrated the good performance of tHe algorightm on sorting the SUs and screening them.