Şenol, HabibÇırpan, Hakan AliPanayırcı, Erdal2019-08-312019-08-052019-08-312019-08-052005Şenol, H., Çırpan, H. A. & Panayırcı, E. (2005). Frequency selective fading channel estimation in OFDM systems using KL expansion. Paper presented at the 1-4.16042382169781604238211https://hdl.handle.net/11729/2022This paper proposes a computationally efficient, linear minimum mean square error (MMSE) channel estimation algorithm based on KL series expansion for OFDM systems. Based on such expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, truncation in the linear expansion of channel is achieved by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We provide performance analysis results studying the influence of the effect of SNR and correlation mismatch on the estimator performance. Simulation results confirm our theoretical results and illustrate that the proposed algorithm is capable of tracking fast fading and improving performance.eninfo:eu-repo/semantics/closedAccessAlgorithmsBayes methodsChannel estimationChannel estimation algorithmChannel estimatorChannel estimation algorithmsComputational loadsComputationally efficientCorrelationCorrelation mismatchEstimationEstimation algorithmExpansionFadingFading channelsFast fadingFrequency selective fading channel estimationFrequency selective fadingImproving performanceKL series expansionLeast mean squares methodsLinear expansionLinear expansionsLinear minimum mean square errorsLinear MMSEMatrix inversionsMinimum mean square errorOFDMOFDM modulationOFDM systemsOptimal truncation propertyOrthogonal frequency division multiplexingPerformance analysisSeries (mathematics)Series expansionSignal processingSignal to noise ratioTelecommunication systemsTheoretical resultVectorsConference Object142-s2.0-84863707245N/A