Channel Estimation using Superimposed Pilots and Second-Order Statistics for Massive MIMO Networks

被引：0
|
作者：
Li, Fei [1 ]
Wang, Haiquan [1 ]
Ying, Mengyun [1 ]
Zhang, Wei [2 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou, Zhejiang, Peoples R China
[2] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW, Australia
来源：
2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC) | 2017年
关键词：
Multi-cell massive MIMO system; Channel estimation; Pilot contamination; Superimposed pilots; Second-order statistics;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a channel estimation method based on superimposed pilots with second-order statistics is proposed for multi-cell Multiple-Input, Multiple-Output (MIMO) networks. In the proposed method, superimposed pilots are used in the uplink training and the base station gets a coarse estimation of the channel state information based on first order statistics. Then, extra information based on the second order statistics of received signals is used to refine the channel estimation. Simulation results show that the newly proposed method achieves better performance than traditional methods in term of channel estimation error and symbol error probability.
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页数：5
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