非固定样本数的链型协作频谱检测算法

Link Cooperative Spectrum Sensing Algorithms Based on the Unfixed Number of Samples

能量检测由于算法简单,易实施,在感知无线电中得到了广泛的应用。但在信噪比较低的环境中需要较长的感知时间,降低了系统的吞吐量。序列检测由于不固定采样样本数,相对于传统的检测方法来说,检测时间较短。基于此,采用序列检测来改进能量检测算法,针对报告信道的不确定性,提出了一种链型的协作频谱检测算法。仿真结果表明,该算法可缩短感知用户的检测时间和报告时间,提高了系统的吞吐量。

Energy Detection （ED ）is popularly used in cognitive radio because of its simple structure and low computational complexities.However,ED needs longer sensing period to achieve the target detection performance in the low SNR environment,as a result,the system throughput decreases.The sequential detection spends less detection time because it needn’t fixed number of samples. The simulation results show that the improved link cooperative spectrum sensing algorithms can reduce the sensing user’s sensing time. In addition,considering uncertainty of the reporting channel,our scheme can shorten the reporting time.