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。
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.