OFDM channel estimation by singular value decomposition

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title = "OFDM channel estimation by singular value decomposition",
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 = "Ove Edfors and Magnus Sandell and {van de Beek}, Jan-Jaap and Wilson, {Sarah Kate} and B{\"o}rjesson, {Per Ola}",
year = "1998",
doi = "10.1109/26.701321",
language = "English",
volume = "47",
pages = "931--939",
journal = "IEEE Transactions on Communications",
issn = "0096-1965",
publisher = "IEEE--Institute of Electrical and Electronics Engineers Inc.",
number = "7",