用户随机到达的反馈叠加能量检测算法

在认知无线电网络中,用户（主用户或者次用户）随机到达对频谱检测的性能有很大影响,为解决这个问题,本文提出了一种反馈叠加能量检测算法。通过将检测周期后半部分采样点的瞬时能量值累加到检测周期前半部分采样点的瞬时能量值上,在不延长检测时间的基础之上,改善了整个检测周期的能量统计值。进一步,从理论上分析了本文算法的检测概率、虚警概率、数据碰撞概率和吞吐量。仿真表明,相对现有文献检测方案,本文算法不仅能提高检测性能,而且可以降低用户之间数据发生碰撞的概率,从而提高次用户的吞吐量。

New feedback addition energy detector algorithm with user randomly arriving

The performance of spectrum sensing could be significantly degraded by users (primary or secondary users) randomly arriving in cognitive radio networks. To overcome the issue, this paper presents a new feedback addition energy detector (FA-ED). The instantaneous energy of the sampling points in the later part of the sensing period is added to the former ones, as a result, the energy statistics of the sensing period has been improved without the need for prolonging the sensing time. In addition, the closed expressions of detection probability, false alarm probability, data collision probability and throughput for FA-ED are derived. The simulation results show that the proposed algorithm outperforms significantly the existing schemes in detection performances, and also reduces the probability of data collision. Therefore, the throughput of secondary users can be improved.