中南大学学报（自然科学版）Issue(6)：2104-2108,5.DOI:10.11817/j.issn.1672-7207.2015.06.018
基于分布式压缩感知的宽带协作频谱感知
Wideband cooperative spectrum sensing based on distributed compressed sensing
摘要
Abstract
Based on the theory of distributed compressed sensing, a wideband cooperative spectrum sensing approach was proposed. Compared to the previous ways of cooperative compressed spectrum sensing, the data of cognitive users transfer to fusion center was simplified to compressed signal, and each compressed signal at the fusion center was fused and reconstructed, thus it reduced the amount of data transfer to the fusion center, eased the pressure data fusion center, and could improve the success rate of signal reconstruction. At the same time, according to the compression sampling matching pursuit algorithm, a simultaneous compression sampling matching pursuit algorithm was put forward. By weighting fusion measuring samples, iteration reconstructing the original signal, restoring joint spectrum support set, the algorithm completed the cooperative spectrum sensing. The simulation results show that compared with classic DCS-SOMP algorithm, this algorithm has better performance, less number of filter.关键词
分布式压缩感知/协作频谱感知/认知无线电Key words
distributed compressed sensing/cooperative spectrum sensing/cognitive radio分类
信息技术与安全科学引用本文复制引用
苏一栋,达新宇..基于分布式压缩感知的宽带协作频谱感知[J].中南大学学报（自然科学版）,2015,(6):2104-2108,5.基金项目
国家自然科学基金资助项目(61271250)(Project (61271250) supported by the National Natural Science Foundation of China) （61271250）
