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Mathematical Problems in Engineering
Volume 2017, Article ID 8107825, 7 pages
Research Article

Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System

1School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430072, China
2College of Electronics and Information, South-Central University for Nationalities, Hubei Key Laboratory of Intelligent Wireless Communications, Wuhan 430074, China
3Department of Automation, Wuhan University, Wuhan 430072, China

Correspondence should be addressed to Li Huang; moc.liamtoh@hammezs

Received 18 September 2016; Revised 21 December 2016; Accepted 16 January 2017; Published 12 February 2017

Academic Editor: Raffaele Solimene

Copyright © 2017 Liang Zhong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The performance of Massive MIMO is severely limited by channel estimation error, which is caused by pilot contamination and channel aging. In this paper, we propose an estimation algorithm based on the weighted total least-squares method with errors-in-variables (EIV) model to alleviate the influence of pilot contamination and channel aging. Then, a channel rectification method has been investigated to diminish the inaccuracy of channel estimation. Comparing with the traditional methods, it not only helps to make the signal estimation more accurate, but also provides opportunities to correct the channel model with estimation error and update the aged channel statement information. Simulations are provided to verify the efficacy of this method.