OFDM channel estimation by singular value decomposition

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OFDM channel estimation by singular value decomposition. / Edfors, Ove; Sandell, Magnus; van de Beek, Jan-Jaap; Wilson, Sarah Kate; Börjesson, Per Ola.

I: IEEE Transactions on Communications, Vol. 47, Nr. 7, 1998, s. 931-939.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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Edfors, Ove ; Sandell, Magnus ; van de Beek, Jan-Jaap ; Wilson, Sarah Kate ; Börjesson, Per Ola. / OFDM channel estimation by singular value decomposition. I: IEEE Transactions on Communications. 1998 ; Vol. 47, Nr. 7. s. 931-939.

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TY - JOUR

T1 - OFDM channel estimation by singular value decomposition

AU - Edfors, Ove

AU - Sandell, Magnus

AU - van de Beek, Jan-Jaap

AU - Wilson, Sarah Kate

AU - Börjesson, Per Ola

PY - 1998

Y1 - 1998

N2 - 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)

AB - 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)

U2 - 10.1109/26.701321

DO - 10.1109/26.701321

M3 - Article

VL - 47

SP - 931

EP - 939

JO - IEEE Transactions on Communications

T2 - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0096-1965

IS - 7

ER -