Semi-blind channel estimation based on eigenvalue decomposition (EVD) or singular value decomposition (SVD) requires repeated computation of EVD or SVD, both having high computational complexity. Such method is unsuitable for practical implementations in multicell multiuser massive MIMO (MU-massive-MIMO) systems. A fast implementation of the semi-blind channel estimation scheme for multicell MU-massive-MIMO systems is presented in this paper. This scheme provides a new recursive method to compute the ambiguity matrix, mainly using the least-squrares (LS) and linear minimum mean-square error (LMMSE) principles. A fast recursive row-Householder (FRRH) subspace tracking algorithm is used to speed up estimation of the signal subspace of received vectors. Numerical results show that the proposed scheme has good estimation performance and can effectively mitigate the effect of pilot contamination.
XU Feng-yang, WANG Dong, XIAO Yang, KOU Jin-feng
. Subspace Tracking-Based Semi-blind Channel Estimation for Massive MIMO Systems[J]. Journal of Applied Sciences, 2015
, 33(5)
: 459
-469
.
DOI: 10.3969/j.issn.0255-8297.2015.05.001
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