Tensor-Based Joint Channel Estimation and Symbol Det ection for AF MIMO Relay Networks  

作　　者：LIN Heyun YUAN Chaowei DU Jianhe HU Zhongwei 林和旳;袁超伟;杜建和;胡仲伟(School of Information and Communication Engineering.Communication University of China,Beijing 100024,China;School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]School of Information and Communication Engineering.Communication University of China,Beijing 100024,China [2]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2020年第1期88-96,共9页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China(Nos.61601414 and 61701448);the National Key Research and Development Program of China(No.2016YFB0502001);the Fundamental Research Fund for the Central Universities(Nos.2018CUCTJ082 and CUC18A007)。

摘　　要：A study on the joint channel and symbol estimation issue is provided for two hop relay networks which employ the amplify-and-forward(AF)relaying approach.The encoding scheme at the source node introduces the time-domain spreading with a time-varying linear constellation precoding.Then,a set of amplifying factors matrices is utilized by the relays to amplify and forward the received data to the destination.The received signal at the destination can be construe ted as a fourth-order tensor model,which is referred to as the nested parallel factor(PARAFAC)model.And then,we present a novel Levenberg-Marquardt(LM)algorithm based on this tensor model.The proposed method does not require complex signal processing at the relay,which effectively reduces the burden of relay.As a semi-blind method,which does not require the pilot signal,the proposed receiver can jointly recover the channels and information symbols.Moreover,the proposed semi-blind receiver is robust as it can work in different wireless channel scenarios.Simulations are conducted to demonstrate the efficiency of the proposed semi-blind approach.

关 键 词：FOURTH-ORDER TENSOR SEMI-BLIND receiver LEVENBERG-MARQUARDT algorithm nested parallel factor model AMPLIFY-AND-FORWARD 

分 类 号：TN929.53[电子电信—通信与信息系统]