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作 者:刘春玲[1] 许军 范传良 LIU Chunling;XU Jun;FAN Chuanliang(College of Information Engineering,Dalian University,Dalian 116622,China)
出 处:《无线电工程》2023年第9期2111-2117,共7页Radio Engineering
基 金:辽宁省教育厅面上基金项目(LJKZ1184)。
摘 要:针对分布式宽带调制转换器在感知节点数满足信号稀疏后检测成功概率趋于平稳,而通过增加感知节点数并不能有效提升检测成功概率且复杂度更高的问题,提出了一种基于分布式宽带调制转换器的协作频谱感知方案。该方案采用一种基于认知用户组检测的协作频谱感知结构,根据信号占用子信道数K计算组内感知节点数并进行分组,组内感知节点采用分布式调制宽带转换器方案感知宽带频谱信号的支撑集;组间采用区域映射融合模型的硬判决方案将不同认知用户组支撑集进行融合,区域映射融合模型根据贪婪算法中内积选择原子的顺序将子信道进行区域映射。仿真结果表明,与基于分布式调制转换器频谱感知算法相比,该算法有效提高了频谱检测成功概率并降低了算法复杂度。The detection success probability of distributed wideband modulation converters tends to be stable after the number of sensing nodes satisfies the signal sparseness,and increasing the number of sensing nodes cannot effectively improve the detection success probability and the complexity is higher.To address this problem,a cooperative spectrum sensing scheme based on distributed wideband modulation converters is proposed.The scheme adopts a cooperative spectrum sensing structure based on cognitive user group detection.First,the number of sensing nodes in the group is calculated and grouped according to the number of sub-channels occupied by the signal.The sensing nodes in the group use the distributed modulation wideband converter scheme to sense support set of the wideband spectrum signal.The support sets of different cognitive user groups are fused between groups using the hard-decision scheme of the regional mapping fusion model.The regional mapping fusion model realizes the regional mapping of the sub-channels according to the order of the atoms selected by the inner product in the greedy algorithm.The simulation results show that,compared with the spectrum sensing algorithm based on distributed modulation converters,the algorithm can effectively improve the success probability of spectrum detection and reduce the complexity of the algorithm.
关 键 词:分布式宽带调制转换器 压缩感知 协作频谱感知 硬判决
分 类 号:TN92[电子电信—通信与信息系统]
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