基于压缩感知的联合协作频谱感知方法实现动态频谱感知,通过融合各次用户(SU)采集的感知数据,寻找超参数,并与判决门限值进行比较,以获得最终的频谱判决结果.基于压缩感知的联合协作频谱感知算法减少了单个SU对压缩感知数据的不确定性,归一化均方误差(MSE)性能较好,并且该算法能够有效利用SU压缩感知数据信息,与其他典型算法相比,能获得更高的正确检测概率和较小的虚警概率.
In this paper,the dynamic spectrum sensing was achieved by jointing cooperation spectrum sensing based on compression sensing.The last result of spectrum decision was made by comparing the hyper-parameters obtained from the fusion of the sensing data with the decision threshold.The proposed algorithm reduces the uncertainty of the compression sensing data obtained by a single SU,results in a better performance of the normalized MSE,and can effectively excavate the compression sensing data of SUs.Compared with other typical algorithms,it can obtain higher correct detection probability and smaller false-alarm probability.