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压缩感知在稀疏信道估计中的应用
引用本文:何雪云,潘林,彭伟刚.压缩感知在稀疏信道估计中的应用[J].通信技术,2011(9):27-29.
作者姓名:何雪云  潘林  彭伟刚
作者单位:南京邮电大学通信与信息工程学院;解放军理工大学指挥自动化学院;中国移动通信集团江苏有限公司;
摘    要:压缩感知( CS,Compressive Sensing)理论指出可以用低于奈奎斯特抽样定理的速率对稀疏信号进行采样并在收端以很高的概率重建信号,它是目前信号处理领域的研究热点.基于CS理论的信道估计会降低导频辅助信道估计的导频数量且估计性能好,介绍了CS的基本原理和信道估计相关内容,以及正交频分复用(OFDM,Ort...

关 键 词:压缩感知  稀疏信道估计  正交频分复用  超宽带系统

Application of Compressive Sensing Theory in Sparse Channel Estimation
HE Xue-yun①,PAN Lin②,PENG Wei-gang.Application of Compressive Sensing Theory in Sparse Channel Estimation[J].Communications Technology,2011(9):27-29.
Authors:HE Xue-yun①  PAN Lin②  PENG Wei-gang
Affiliation:③(①College of Telecommunication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210003,China; ②Institute of Command and Automation,PLA University of Science and Technology,Nanjing Jiangsu 210007,China; ③Jiangsu Branch,China Mobile Communications Corporation,Nanjing Jiangsu 210029,China)
Abstract:Recently,compressive sensing(CS) technology is a hot research topic in signal processing area,this technology could sample the sparse signal at a rate much lower than Nyquist rate and reconstruct it with high probability by optimization technique.CS-based channel estimation could reduce the number of pilot symbols and has a better estimation performance as compared with traditional channel estimation.Two different CS-based channel estimations in orthogonal frequency division multiplex(OFDM) system and ultra...
Keywords:compressive sensing  sparse channel estimation  OFDM  UWB  
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