Performance Bounds Analysis for Semi-Blind Channel Estimation with Pilot Contamination in Massive MIMO-OFDM Systems

Author(s):  
Ouahbi Rekik ◽  
Abdelhamid Ladaycia ◽  
Karim Abed-Meraim ◽  
Anissa Mokraoui
2016 ◽  
Vol 64 (11) ◽  
pp. 4607-4621 ◽  
Author(s):  
Alam Zaib ◽  
Mudassir Masood ◽  
Anum Ali ◽  
Weiyu Xu ◽  
Tareq Y. Al-Naffouri

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Ruo-Nan Yang ◽  
Wei-Tao Zhang ◽  
Shun-Tian Lou

In order to track the changing channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, it is prior to estimate channel impulse response adaptively. In this paper, we proposed an adaptive blind channel estimation method based on parallel factor analysis (PARAFAC). We used an exponential window to weight the past observations; thus, the cost function can be constructed via a weighted least squares criterion. The minimization of the cost function is equivalent to the decomposition of third-order tensor which consists of the weighted OFDM data symbols. To reduce the computational load, we adopt a recursive singular value decomposition method for tensor decomposition; then, the channel parameters can be estimated adaptively. Simulation results validate the effectiveness of the proposed algorithm under diverse signalling conditions.


2017 ◽  
Vol 6 (3) ◽  
pp. 347-363
Author(s):  
Bhasker Gupta ◽  
Shivani Gupta ◽  
Ashutosh Kumar Singh ◽  
Hem Dutt Joshi

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