DocumentCode
68170
Title
An Enhanced DFT-Based Channel Estimator for LTE-A Uplink
Author
Qingchuan Zhang ; Xudong Zhu ; Tao Yang ; Jin Liu
Author_Institution
Res. & Innovation Center, Alcatel-Lucent Shanghai Bell Co., Ltd., Shanghai, China
Volume
62
Issue
9
fYear
2013
fDate
Nov. 2013
Firstpage
4690
Lastpage
4696
Abstract
In this paper, we investigate the popular discrete Fourier transform (DFT)-based channel estimator (D-bCE) for Long-Term Evolution (LTE)-Advanced uplink. Due to limitations of the current pilot pattern, orthogonality among channels of multiple antennas at the time domain does not exactly hold. This degrades the performance of a conventional D-bCE severely. Therefore, we propose a novel enhancement of the D-bCE by using the frequency-domain weighting scheme. By analyzing the mean square error, we present a heuristic way to design weights and reformulate the resulting optimization into a second-order cone programming problem, which can be easily solved. The proposed scheme does not rely on the channel covariance matrix, and the weights can be generated offline. Thus, it is easy to use this scheme in practice. Simulation results validate the effectiveness of our proposed method.
Keywords
Long Term Evolution; antennas; channel estimation; covariance matrices; discrete Fourier transforms; frequency-domain analysis; mean square error methods; optimisation; radio links; D-bCE; DFT-based channel estimator; LTE-A uplink; Long-Term Evolution-advanced uplink; channel covariance matrix; discrete Fourier transform; frequency-domain weighting scheme; mean square error; multiple antenna; second-order cone programming problem; Complexity theory; Delays; Optimization; Time-domain analysis; Transmitting antennas; Uplink; Vectors; Channel estimation (CE); Long-Term Evolution (LTE)-Advanced (LTE-A); convex optimization; orthogonal frequency-division multiplexing (OFDM); uplink;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2013.2264293
Filename
6517483
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