Channel Rectification and Signal Estimation Based on EIV Model in Massive MIMO System. (12th February 2017)

• Record Type: Journal Article
• Authors: Zhong, Liang; Huang, Li; Kong, Zhengmin
• Other Names: Solimene Raffaele Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2017(2017)
• Publication Date: 2017-02-12
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2017/8107825
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.