认知网络中多速率采样的宽带合作频谱感知  

Wideband Cooperative Spectrum Sensing of Multi-rate Sampling in Cognitive Radio Networks

作　　者：刘薙 曾凡仔[1] 周敏[2] 

机构地区：[1]湖南大学嵌入式系统与网络实验室,长沙410082 [2]国家安全生产监督管理总局,北京100713

出　　处：《系统仿真学报》2013年第12期2867-2871,共5页Journal of System Simulation

基　　金：国家自然科学基金(61173012);湖南省自然科学基金重点项目(12JJA005);湖南省高校创新平台开放基金项目10K015

摘　　要：在合作感知的框架下,提出一种基于多速率sub-Nyquist采样(Co-MRSS)的宽带合作频谱感知算法。认知无线电网络中每个合作节点首先以不同的sub-Nyquist速率对信号进行采样,然后将各自的采样信息集中到融合中心(FC),利用压缩感知CoSaMP重构算法来重构信号的频谱幅度,最后将重构的频谱幅度其能量值与设定的门限值作比较,来判断主用户(PU)是否存在。Co-MRSS有效地减少了信号采样的数量,降低了计算复杂度。进行了仿真实验以验证算法的有效性。A wideband cooperative spectrum sensing algorithm based on multi-rate sub-Nyquist sampling （Co-MRSS） was developed. Firstly, the signal was sampled in different sub-Nyquist rates by each cooperative node in cognitive radio network, then sampling information of each cooperative node was sent to the fusion central （FC）, spectrum amplitude of the signal was reconstructed by CoSaMP algorithm and energy of the reconstructed spectrum amplitude was calculated. Finally, the energy was compared with a preset detection threshold to decide whether the primary user （PU） is existed. The number of signal samples and computational complexity was reduced effectively by the Co-MRSS. Effects of the proposed system are demonstrated by simulations.

关 键 词：频谱感知 多速率采样 合作感知 压缩感知 

分 类 号：TN911[电子电信—通信与信息系统]