Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System
Joint Authors
Kong, Zhengmin
Zhong, Liang
Huang, Li
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhong, Liang& Huang, Li& Kong, Zhengmin. 2017. Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1192182
Modern Language Association (MLA)
Zhong, Liang…[et al.]. Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System. Mathematical Problems in Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1192182
American Medical Association (AMA)
Zhong, Liang& Huang, Li& Kong, Zhengmin. Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1192182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192182