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

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Liang Zhong ◽  
Li Huang ◽  
Zhengmin Kong
Keyword(s):  
Channel Estimation ◽  
Massive Mimo ◽  
Channel Model ◽  
Least Squares Method ◽  
Mimo System ◽  
Estimation Error ◽  
Estimation Algorithm ◽  
Channel Estimation Error ◽  
Signal Estimation ◽  
Pilot Contamination

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.

scholarly journals Block-Type Pilot Arrangement with Alternating Polarity for ICI Mitigation in Mobile OFDM Systems

2013 ◽  
Vol 9 (3) ◽  
pp. 178 ◽  
Author(s):  
Titiek Suryani ◽  
Gamantyo Hendrantoro
Keyword(s):  
Channel Estimation ◽  
Doppler Shift ◽  
Channel Model ◽  
Estimation Error ◽  
Least Square ◽  
Channel Estimation Error ◽  
Piecewise Linear Approximation ◽  
Modulation Scheme ◽  
Block Type ◽  
Time Varying

Improvement on Inter Carrier Interference (ICI)mitigation techniques for OFDM caused by Doppler effectsthrough minimizing channel estimation error and decreasingchannel time varying rate is investigated. The performanceof pilot-aided channel estimation techniques depends on pilot placement and arrangement and also on the channel time varying rate. The block-type and comb-type pilot arrangements are studied through different numbers of guard bands, with or without the involvement of the Doppler shift compensation. The estimation of channel at mid-point of each OFDM symbol is derived from pilot frequencies based on the least square algorithm while the channel interpolation is done using piecewise linear approximation. For ICI mitigation technique we implement frequency domain zero forcing equalizer. We compare the performance of schemes with different pilot arrangementsand Doppler shift compensations by measuring bit error rate with QPSK as sub-channel modulation scheme and with mobileto-fixed of single ring scattering as channel model. The results are in favour of block-type pilot arrangements with alternating polarity and Doppler compensation of 0:55 times the maximum Doppler shift.

scholarly journals Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 32434-32452 ◽  
Author(s):  
Samer Bazzi ◽  
Stelios Stefanatos ◽  
Luc Le Magoarou ◽  
Salah Eddine Hajri ◽  
Mohamad Assaad ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Structural Properties ◽  
Massive Mimo ◽  
Estimation Error ◽  
Mimo Channel ◽  
Channel Estimation Error ◽  
And Training

scholarly journals Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model

2021 ◽  
Author(s):  
mojtaba ghermezcheshmeh ◽  
Vahid Jamali ◽  
Haris Gacanin, ◽  
Nikola zlatanov
Keyword(s):  
Wireless Communication ◽  
Channel Estimation ◽  
Communication Systems ◽  
Channel Model ◽  
Estimation Error ◽  
Computational Cost ◽  
Channel Estimation Error ◽  
Wireless Communication Systems ◽  
Physical Channel ◽  
Estimation Scheme

<div>Large intelligent surface-based transceivers (LISBTs), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising solution for improving the coverage and data rate of wireless communication systems. To realize these objectives, the acquisition of accurate channel state information (CSI) in LISBT-assisted wireless communication systems is crucial. In this paper, we propose a channel estimation scheme based on a parametric physical channel model for line-of-sight dominated communication in millimeter and terahertz wave bands. The proposed estimation scheme requires only five pilot signals to perfectly estimate the channel parameters assuming there is no noise at the receiver. In the presence of noise, we propose an iterative estimation algorithm that decreases the channel estimation error due to noise. The training overhead and computational cost of the proposed scheme do not scale with the number of antennas. The simulation results demonstrate that the proposed estimation scheme significantly outperforms other benchmark schemes.</div>

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