[1]王韦刚 胡海峰.基于压缩感知的协作频谱检测[J].计算机技术与发展,2012,(12):241-244.
　WANG Wei-gang,HU Hai-feng.Collaborative Spectrum Detection Based on Compressed Sensing[J].,2012,(12):241-244.
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基于压缩感知的协作频谱检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
241-244
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Collaborative Spectrum Detection Based on Compressed Sensing
文章编号:
1673-629X（2012）12-0241-04
作者:
王韦刚1; 2 胡海峰2
[1]南京邮电大学电子科学与工程学院[2]南京邮电大学通信与信息工程学院
Author(s):
WANG Wei-gang;  HU Hai-feng
[1]College of Electronic Science ＆ Engineering, Nanjing University of Posts and Telecommunications[2]College of Telecommunications ＆ Information, Nanjing University of Posts and Telecommunications
关键词:
认知无线电; 压缩感知; 频谱检测; 观测矩阵
Keywords:
cognitive radio ; compressed sensing;  spectrum detection;  measurement matrix
分类号:
TP39
文献标志码:
A
摘要:
频谱感知技术是认知无线电中的关键技术之一，它要求次用户快速检测出可用的频谱空穴。近年来提出的压缩感知是一种针对稀疏信号处理的新技术，其特点是将压缩与采样同步进行，并可以通过相应的重构算法恢复原始信号。由于认知无线电中的宽带频谱具有稀疏性，可以将压缩感知技术用于宽带信号频谱检测，以实现快速频谱检测并判断频谱空闲情况。文中提出一种基于压缩感知的宽频协作频谱检测模型（CDCS），并对该模型下的各种性能进行了分析。仿真结果表明，该模型能对频谱空穴做出快速检测，并且能通过对多认知节点数据融合以提高检测概率
Abstract:
Spectrum sensing technology is one of the key technologies of cognitive radio and it requires second users to detect the available spectrum holes in short time. In recent years,compressed sensing is a new sparse signal processing technology with the characteristic of compression and sampling in synchronization. The original signal can be reconstructed by corresponding algorithm. As the sparsity of wideband, the idle spectrum in cognitive radio can be detected rapidly with compressed sensing technology. In this paper, proposed a model of wideband collaborative detection based on compressed sensing （CDCS）. The detection performance of this model is analyzed in various kinds of situation. The simulation results show that the model can rapidly detect the spectrum holes and improve the detection proba bility by fusing multiple second uses data

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备注/Memo

备注/Memo:
国家自然科学基金资助项目（61071092）;南京邮电大学科研项目基金（NY210038）;南京邮电大学教改项目（JG03311J75）王韦刚（1975-），男，硕士，讲师，研究方向为计算机应用及通信信号处理
更新日期/Last Update: 1900-01-01