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OFDM channel estimation by singular value decomposition

Edfors, Ove LU orcid ; Sandell, Magnus ; van de Beek, Jan-Jaap ; Wilson, Sarah Kate and Börjesson, Per Ola LU (1998) In IEEE Transactions on Communications 47(7). p.931-939
Abstract
We present and analyze low-rank channel estimators for orthogonal frequency-division multiplexing (OFDM) systems using the frequency correlation of the channel. Low-rank approximations based on the discrete Fourier transform (DFT) have been proposed, but these suffer from poor performance when the channel is not sample spaced. We apply the theory of optimal rank-reduction to linear minimum mean-squared error (LMMSE) estimators and show that these estimators, when using a fixed design, are robust to changes in channel correlation and signal-to-noise ratio (SNR). The performance is presented in terms of uncoded symbol-error rate (SER) for a system using 16-quadrature amplitude modulation (QAM)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Communications
volume
47
issue
7
pages
931 - 939
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:0032114467
ISSN
0090-6778
DOI
10.1109/26.701321
language
English
LU publication?
yes
id
18fe6565-a711-4ac2-8a64-29a23a91a4d3 (old id 1035933)
date added to LUP
2016-04-01 15:53:33
date last changed
2024-03-28 12:17:50
@article{18fe6565-a711-4ac2-8a64-29a23a91a4d3,
  abstract     = {{We present and analyze low-rank channel estimators for orthogonal frequency-division multiplexing (OFDM) systems using the frequency correlation of the channel. Low-rank approximations based on the discrete Fourier transform (DFT) have been proposed, but these suffer from poor performance when the channel is not sample spaced. We apply the theory of optimal rank-reduction to linear minimum mean-squared error (LMMSE) estimators and show that these estimators, when using a fixed design, are robust to changes in channel correlation and signal-to-noise ratio (SNR). The performance is presented in terms of uncoded symbol-error rate (SER) for a system using 16-quadrature amplitude modulation (QAM)}},
  author       = {{Edfors, Ove and Sandell, Magnus and van de Beek, Jan-Jaap and Wilson, Sarah Kate and Börjesson, Per Ola}},
  issn         = {{0090-6778}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{931--939}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Communications}},
  title        = {{OFDM channel estimation by singular value decomposition}},
  url          = {{http://dx.doi.org/10.1109/26.701321}},
  doi          = {{10.1109/26.701321}},
  volume       = {{47}},
  year         = {{1998}},
}