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Channel estimation based on distributed compressed sensing in amplify-and-forward relay networks
  • 时间:0
  • 分类:TN21[电子电信—物理电子学] TN929.533[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构:[1]School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 相关基金:This work was 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 (2009AA01 Z233).
  • 相关项目:宽带移动通信系统中迭代同步理论与算法研究
中文摘要:

在 amplify-and-forward (AF ) 接力赛联网的直角的频率部门 multiplexing (OFDM ) ,在频率选择的褪色的隧道上增加以便利用差异,获得隧道的知识的接收装置需要说信息(CSI ) 。在这篇文章,基于最近的方法论察觉到散布压缩(DCS ) ,一个新奇隧道评价计划被建议。联合稀少模型(JSM-2 ) 2 在 DCS 理论和同时的直角的匹配追求(SOMP ) 是介绍改进评价表演和增加的两个光谱效率。与电流相比压缩了察觉到的模拟结果表演(CS ) 方法,当飞行员数字仍然被使小时,我们的计划的评价错误在高 SNR 区域戏剧性地被减少。

英文摘要:

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.

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