Non-orthogonal pilot pattern for sparse channel estimation in large-scale MIMO-OFDM system

作     者：Xu Chao Zhang Jianhua Yin Changchuan 

作者机构：Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2016年第23卷第4期

页      面：63-68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 the National Science and Technology Major Project of the Ministry of Science and Technology(2014ZX03003011-004) the National Key Technology Research and Development Program of the Ministry of Science and Technology of China(2012BAF14B01) the National NaturalScience Foundation of China(61322110) the Hi-Tech Research and Development Program of China(2014AA01A705) the Doctoral Fund of Ministry of Education(201300051100013) 

主　　题：large scale MIMO CS channel estimation pilot pattern 

摘      要：From the perspective of compressed sensing（CS） theory, the channel estimation problem in large-scale multiple input multiple output（MIMO）-orthogonal frequency division multiplexing（OFDM） system is investigated. According to the theory, the smaller mutual coherence the reconstruction matrix has, the higher success probability the estimation can obtain. Aiming to design a pilot that can make the system reconstruction matrix having the smallest mutual coherence, this paper proposes a low complexity joint algorithm and obtains a kind of non-orthogonal pilot pattern. Simulation results show that compared with the conventional orthogonal pilot pattern, applying the proposed pattern in the CS channel estimation can obtain the better normalized mean square error performance. Moreover, the bit error rate performance of the large-scale MIMO-OFDM system is also improved.