Sparsity-aware channel estimation with contaminated pilot sequence

In this paper the up-link channel estimation problem in a multi-cell network with a Single-Input-Multiple-Output (SIMO) fading correlated channel and finite-length, nonorthogonal and contaminated pilots is considered. Our contribution is a novel channel estimation technique, referred to as the Spars...

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Bibliographic Details
Main Authors: Destino, Giuseppe, Macagnano, Davide, Juntti, Markku, Nagaraj, Shirish
Format: Conference Proceeding
Language:English
Subjects:
Antennas
Channel estimation
Covariance matrices
Interference
NIST
Signal to noise ratio
Vectors
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Summary:In this paper the up-link channel estimation problem in a multi-cell network with a Single-Input-Multiple-Output (SIMO) fading correlated channel and finite-length, nonorthogonal and contaminated pilots is considered. Our contribution is a novel channel estimation technique, referred to as the Sparse Channel Estimator (SCE), which exploits the Karhunen-Loéve Transform (KLT) sparse-representation of the channel. We show that, by simply utilizing an interference-contaminated channel sample-covariance matrix, the proposed approach outperforms Least Squares (LS)-based and Minimum Mean Squared Error (MMSE) techniques relying on the same type of assumptions.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2014.6854850