菱形中继网络中基于叠加训练的信道估计技术研究  

Research on Channel Estimation Technology Based on Superimposed Training in Diamond Relay Networks

作　　者：邓冉[1] 高俊[1] 何宪文 DENG Ran;GAO Jun;HE Xian-wen(Institute of Electronic Engineering,Naval University of Engineering,Wuhan,Hubei 430033,China)

机构地区：[1]海军工程大学电子工程学院,湖北武汉430033

出　　处：《信号处理》2018年第10期1143-1150,共8页Journal of Signal Processing

基　　金：国家自然科学基金(61302099);中国博士后特别资助基金(2015T81107)资助课题

摘　　要：针对放大转发(Amplify-and-Forward,AF)模式下的菱形中继网络,为了高效获取级联和单跳链路信道状态信息(Channel State Information,CSI),本文提出基于叠加训练的信道估计方案,以消除多址接入干扰和训练间互干扰为目标,进行最优的多训练序列设计。新方案将中继训练叠加到源训练序列上,通过对中继识别符号以及中继训练组进行联合优化设计,设计了一种基于频域循环移位的正交扩展序列组生成算法。为了消除非高斯复合噪声对单跳信道估计造成的严重干扰,进而提出中继噪声消除算法。该方案能够准确获取CSI,在端节点实现分集合并,有效提高符号检测性能。仿真实验对比了同类型的信道估计方案,分析验证了方案的有效性。In order to obtain the channel state information(CSI)of cascaded and single-hop links in amplify-and-forward(AF)diamond relay networks efficiently,this paper proposes a channel estimation scheme based on superimposed training to eliminate multi-access interference and mutual interference between trainings.Then the optimal multi-training sequence design is performed.The new scheme superimposes relay training on the source training sequence.Through joint optimization design of relay identification symbols and relay training groups,a generation algorithm of orthogonal spreading sequence group based on frequency domain cyclic shift is designed.In order to eliminate the serious interference caused by non-Gaussian compound noise on single-hop channel estimation,a relay noise cancellation algorithm is proposed.Diversity combining can be implemented at destination through the copies of information obtained from the two relay links.This can improve symbol detection performance effectively.The simulation experiment compares the same type of channel estimation scheme,and the analysis verifies the effectiveness of this scheme.

关 键 词：菱形中继 转发放大 信道估计 叠加训练 

分 类 号：TN929.5[电子电信—通信与信息系统]