IEEE Communications Letters · 2021 · 24 citations · 16 references
EngineeringElectrical EngineeringDigital CommunicationOptimizationWireless CommunicationsChannel EstimationChannel Performance AnalysisDigital Signal ProcessingSignal ProcessingWireless Channel ModelingComputational Complexity Of AlgorithmsLow-complexity Channel EstimationMinimum Mean Square Error Channel EstimationMinimum Mean Square Error EstimationPerformance DegradationQuantizationVector QuantizationWireless Communication Channels
The linear minimum mean square error (LMMSE) channel estimation yields the optimal performance in terms of the mean square error (MSE). However, the high computational complexity limits its application in practical systems. To overcome this issue, this letter proposes a vector quantization approach to the LMMSE channel estimation. The LMMSE filtering matrices corresponding to some typical wireless channels are calculated off-line. When performing the LMMSE channel estimation on-line, an appropriate LMMSE filtering matrix is selected according to the MSE criterion. At the expense of a negligible performance degradation, the computational complexity of the LMMSE channel estimation is reduced.
16
An Algorithm for Vector Quantizer Design
Y. Linde, A. Buzo, Robert M. Gray · IEEE Transactions on Communications · 1980 · 7.2K citations
On channel estimation in OFDM systems
Jaap van de Beek, Ove Edfors, Magnus Sandell et al. · 2002 · 1.6K citations · Full text
OFDM channel estimation by singular value decomposition
Ove Edfors, Magnus Sandell, Jaap van de Beek et al. · IEEE Transactions on Communications · 1998 · 1.5K citations · Full text
OFDM and Its Wireless Applications: A Survey
Taewon Hwang, Chenyang Yang, Gang Wu et al. · IEEE Transactions on Vehicular Technology · 2008 · 1K citations
Vector quantization in speech coding
J. Makhoul, S. Roucos, H. Gish · Proceedings of the IEEE · 1985 · 845 citations