宽带协作频谱感知的联合信号重构改进算法  

Improved joint signal reconstruction algorithm for wideband collaborative spectrum sensing

作　　者：佟明磊 白勇[1,2] 

机构地区：[1]海南大学南海海洋资源利用国家重点实验室,海南海口570228 [2]海南大学信息科学技术学院,海南海口570228

出　　处：《电子技术应用》2017年第6期98-101,共4页Application of Electronic Technique

基　　金：国家自然科学基金(61561017)

摘　　要：在基于认知无线电(CR)的宽带频谱感知中,调制宽带转换器(MWC)可以通过采用欠奈奎斯特采样来降低所需要的采样率,并且多个CR设备和融合中心可进行协作频谱感知来提高频谱感知的精确度。由正交匹配追踪(OMP)算法扩展的块稀疏同步正交匹配追踪(BSOMP)算法作为一种基于MWC实现协作频谱感知的联合信号重构算法,在低信噪比(SNR)下的正确支撑集恢复百分比不够理想。提出由压缩采样匹配追踪(CoSaMP)算法扩展成块稀疏同步压缩采样匹配追踪(BSCoSaMP)算法作为实现协作频谱感知的联合信号重构改进算法。仿真结果显示,与BSOMP算法相比,BSCoSaMP算法可以得到更高的正确支撑集恢复百分比。Sub-Nyquist sampling with Modulated Wideband Converter （MWC） can reduce required sampling rate for wideband spectrum sensing of Cognitive Radio （CR）, and collaborative spectrum sensing conducted by multiple CRs and a fusion center can help increasing the precision of spectrum sensing. The Block Sparse Simultaneous Orthogonal Matching Pursuit（BSOMP） algorithm, extended from Orthogonal Matching Pursuit（OMP）, has been investigated as one joint signal reconstruction algorithm for collaborative spectrum sensing with MWC, but the percentage of correct support recovery of BSOMP algorithm is not satisfied in low Signal Noise Ratio（SNR） regime. In this paper, Block Sparse Simultaneous Compressive Sampling Matching Pursuit （BSCoSaMP） algorithm, extended from Compressive Sampling Matching Pursuit （CoSaMP）, is proposed to be the improved joint signal reconstruction algorithm for collaborative spectrum sensing. Simulation results demonstrate that higher percentage of correct support recovery can be achieved with BSCoSaMP algorithm than with BSOMP algorithm.

关 键 词：认知无线电(CR) 频谱感知 欠奈奎斯特采样 正交匹配追踪(OMP) 压缩采样匹配追踪(CoSaMP) 

分 类 号：TN929.5[电子电信—通信与信息系统]