IEEE Transactions on Communications · 1998 · 1.5K citations · 11 references
EngineeringCommunicationElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel CodingChannel EstimationChannel Performance AnalysisDigital Signal ProcessingModulationWireless Channel ModelingCorrelationDiscrete Fourier TransformFourier TransformMean Squared ErrorOrthogonal Frequency-division MultiplexingOrthogonal Frequency-division Multiplexing Channel EstimationQuadrature Amplitude ModulationSignal-to-noise Ratio
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).
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On channel estimation in OFDM systems
Jaap van de Beek, Ove Edfors, Magnus Sandell et al. · 2002 · 1.6K citations · Full text