基于压缩感知的联合协作频谱感知算法  

Joint Cooperation Spectrum Sensing Method Based on Compression Sensing

作　　者：江晓林[1,2] 顾学迈[1] 何晨[3] 

机构地区：[1]哈尔滨工业大学电子信息工程学院,哈尔滨150027 [2]黑龙江科技大学电气与信息工程学院,哈尔滨150027 [3]上海交通大学电子工程系,上海200240

出　　处：《上海交通大学学报》2013年第7期1099-1102,1108,共5页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金重点项目(60832009);哈尔滨市科技局青年科技创新人才项目(21013RFQXJ107);黑龙江科技大学青年才俊培养项目

摘　　要：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.

关 键 词：压缩感知 协作 频谱感知 

分 类 号：TN911.7[电子电信—通信与信息系统]