Channel Estimation in Massive MIMO Systems
March 30, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
David Neumann, Michael Joham, Wolfgang Utschick
arXiv ID
1503.08691
Category
cs.IT: Information Theory
Citations
46
Venue
arXiv.org
Last Checked
6 months ago
Abstract
We introduce novel blind and semi-blind channel estimation methods for cellular time-division duplexing systems with a large number of antennas at each base station. The methods are based on the maximum a-posteriori principle given a prior for the distribution of the channel vectors and the received signals from the uplink training and data phases. Contrary to the state-of-the-art massive MIMO channel estimators which either perform linear estimation based on the pilot symbols or rely on a blind principle, the proposed semi-blind method efficiently suppresses most of the interference caused by pilot-contamination. The simulative analysis illustrates that the semi-blind estimator outperforms state- of-the-art linear and non-linear approaches to the massive MIMO channel estimation problem.
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