Superimposed training for channel estimation of OFDM modulated amplify-and-forward relay networks

作     者：ZHANG Han PAN DaRu CUI HaiXia GAO FeiFei 

作者机构：School of Physics and Telecommunication Engineering South China Normal University Tsinghua National Laboratory for Information Science and Technology National Mobile Communications Research Laboratory Southeast University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2013年第56卷第10期

页      面：55-66页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61002012,61172087) Natural Science Foundation of Guangdong Province(Grant No.10451063101006074) supported inpart by Foundation for Distinguished Young Talents in Higher Education of Guangdong Province(Grant No.LYM11101) Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(Grant No.2011D02) 

主　　题：channel estimation amplify-and-forward relay network OFDM superimposed training 

摘      要：This paper is concerned with the problem of channel estimation for amplify-and-forward(AF)cooperative relay networks with orthogonal frequency division multiplexing(OFDM)*** algorithm is based on both the least square(LS)and minimum mean square error(MMSE)technique with a superimposed training ***,both the source and relay superimpose their own training signal onto data stream prior to transmission so as to estimate the separate channel state information of the source to relay link and the relay to destination *** also present the performance analysis and derive the approximated closed-form expressions for the MSE of separate channel estimation of source to relay link and the relay to destination link,respectively,from which we compute the optimal training signal as well as the relay power-amplifcation *** further improve the performance of channel estimation,we adopt a weighted average process to enhance the estimation performance over multiple OFDM blocks,from which we compute the optimal tracking *** results are provided to corroborate the proposed scheme.