A low-complexity time-domain MMSE channel estimator for space-time/frequency block-coded OFDM systems

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dc.citation.volumeNumber2006en_US
dc.contributor.authorŞenol, H.en_US
dc.contributor.authorÇırpan, H. A.en_US
dc.contributor.authorPanayırcı, E.en_US
dc.contributor.authorÇevik, M.en_US
dc.date.accessioned2016-02-08T10:18:30Z
dc.date.available2016-02-08T10:18:30Z
dc.date.issued2006en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractFocusing on transmit diversity orthogonal frequency-division multiplexing (OFDM) transmission through frequency-selective channels, this paper pursues a channel estimation approach in time domain for both space-frequency OFDM (SF-OFDM) and space-time OFDM(ST-OFDM) systems based on AR channel modelling. The paper proposes a computationally efficient, pilot-aided linear minimum mean-square-error (MMSE) time-domain channel estimation algorithm for OFDM systems with transmitter diversity in unknown wireless fading channels. The proposed approach employs a convenient representation of the channel impulse responses based on the Karhunen-Loeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion, no matrix inversion is required in the proposed MMSE estimator. Subsequently, optimal rank reduction is applied to obtain significant taps resulting in a smaller computational load on the proposed estimation algorithm. The performance of the proposed approach is studied through the analytical results and computer simulations. In order to explore the performance, the closed-form expression for the average symbol error rate (SER)probability is derived for the maximum ratio receive combiner(MRRC). We then consider the stochastic Cramer-Rao lower bound(CRLB) and derive the closed-form expression for the random KL coefficients, and consequently exploit the performance of the MMSE channel estimator based on the evaluation of minimum Bayesian MSE. We also analyze the effect of a modelling mismatch on the estimator performance. Simulation results confirm our theoretical analysis and illustrate that the proposed algorithms are capable of tracking fast fading and improving overall performance. Copyright © 2006 Hindawi Publishing Corporation. All rights reserved.en_US
dc.identifier.doi10.1155/ASP/2006/39026en_US
dc.identifier.issn1110-8657
dc.identifier.urihttp://hdl.handle.net/11693/23743
dc.language.isoEnglishen_US
dc.publisherHindawi Publishing Corporationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1155/ASP/2006/39026en_US
dc.source.titleEurasip Journal on Applied Signal Processingen_US
dc.subjectBlock codesen_US
dc.subjectComputational complexityen_US
dc.subjectComputer simulationen_US
dc.subjectError detectionen_US
dc.subjectEstimationen_US
dc.subjectOrthogonal frequency division multiplexingen_US
dc.subjectTime domain analysisen_US
dc.subjectChannel estimatoren_US
dc.subjectMinimum mean-square-error (MMSE)en_US
dc.subjectSymbol error rate (SER)en_US
dc.subjectWireless fadingen_US
dc.subjectCommunication channels (information theory)en_US
dc.titleA low-complexity time-domain MMSE channel estimator for space-time/frequency block-coded OFDM systemsen_US
dc.typeArticleen_US
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