基于一致优化的分布式宽带合作频谱感知算法  

Distributed cooperative spectrum sensing based on consensus optimization

作　　者：曾凡仔[1] 刘洁[1] 李仁发[1] 曾庆光[1] 

机构地区：[1]湖南大学嵌入式系统与网络实验室,湖南长沙410082

出　　处：《通信学报》2011年第9期147-152,共6页Journal on Communications

基　　金：国家自然科学基金资助项目(61173012);湖南大学"中央高校基本科研业务费"基金资助项目;湖南省科技计划基金资助项目(2011FJ4143)~~

摘　　要：在压缩采样的框架下,提出一种基于一致优化的分布式宽带频谱压缩感知算法。算法思想如下:认知无线电网络中每个认知节点首先根据压缩采样理论获取压缩采样,并恢复本地的频谱信息,然后在一跳范围内交换频谱信息。认知节点将获取的邻居节点频谱信息进行加权平均,此加权平均作为频谱恢复一致优化问题的约束,以此来降低计算开销,加速算法的收敛。优化问题通过最优交替方向乘子法迭代求解来获取整个认知无线电网络的频谱估计。给出了算法的收敛性证明,并进行了仿真实验以验证算法的有效性。A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of primary users is recovered jointly by cooperative cognitive radio users,which utilizes iterative consensus optimization to reach globally sensing outcomes via one-hop local communication only.In particular,a weighted consensus-averaging constraint is introduced to reduce the number of the consensus constraints,which lowers the computation loads and expedites the convergence.The convergence of the proposed distributed cooperative spectrum sensing scheme is proved analytically.Simulations demonstrate that the proposed scheme can effectively sense the spectrum from compressive sample.

关 键 词：分布式频谱感知 压缩采样 合作感知 一致优化 

分 类 号：TN914[电子电信—通信与信息系统]