Channel estimation based on distributed compressed sensing in amplify-and-forward relay networks  被引量:1

Channel estimation based on distributed compressed sensing in amplify-and-forward relay networks

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作  者:WANG Dong-hao NIU Kai HE Zhi-qiang TIAN Bao-yu 

机构地区:[1]School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

出  处:《The Journal of China Universities of Posts and Telecommunications》2010年第5期44-49,共6页中国邮电高校学报(英文版)

基  金:supported by the National Basic Research Program of China (2007CB310604);the National Natural Science Foundation of China (60702048);the Hi-Tech Research and Development Program of China (2009AA01Z233)

摘  要:In orthogonal frequency-division multiplexing (OFDM) amplify-and-forward (AF) relay networks,in order to exploit diversity gains over frequency-selective fading channels,the receiver needs to acquire the knowledge of channel state information (CSI).In this article,based on the recent methodology of distributed compressed sensing (DCS),a novel channel estimation scheme is proposed.The joint sparsity model 2 (JSM-2) in DCS theory and simultaneous orthogonal matching pursuit (SOMP) are both introduced to improve the estimation performance and increase the spectral efficiency.Simulation results show that compared with current compressed sensing (CS) methods,the estimation error of our scheme is reduced dramatically in high SNR region while the pilot number is still kept small.In orthogonal frequency-division multiplexing (OFDM) amplify-and-forward (AF) relay networks,in order to exploit diversity gains over frequency-selective fading channels,the receiver needs to acquire the knowledge of channel state information (CSI).In this article,based on the recent methodology of distributed compressed sensing (DCS),a novel channel estimation scheme is proposed.The joint sparsity model 2 (JSM-2) in DCS theory and simultaneous orthogonal matching pursuit (SOMP) are both introduced to improve the estimation performance and increase the spectral efficiency.Simulation results show that compared with current compressed sensing (CS) methods,the estimation error of our scheme is reduced dramatically in high SNR region while the pilot number is still kept small.

关 键 词:channel estimation DCS relay networks SOMP 

分 类 号:TN21[电子电信—物理电子学] TN929.533

 

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