HAL : hal-00187768, version 1

DOI : 10.1109/TCOMM.2003.809234

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IEEE Transactions on Communications 51, 2 (2003) 135-140

A low-complexity ML channel estimator for OFDM

Luc Deneire 1, P. Vandenameele 2, L. Van Der Perre 2, Bert Gyselinckx 2, M.G.E. Engels 2

(01/02/2003)

Orthogonal frequency-division multiplexing with cyclic prefix enables low-cost frequency-domain mitigation of multipath distortion. However, to determine the equalizer coefficients, knowledge of the channel frequency response is required. While a straightforward approach is to measure the response to a known pilot symbol sequence, existing literature reports a significant performance gain when exploiting the frequency correlation properties of the channel. Expressing this correlation by the finite delay spread, we build a deterministic model parametrized by the channel impulse response and, based on this model, derive the maximum-likelihood channel estimator. In addition to being optimal (up to the modeling error), this estimator receives an elegant time-frequency interpretation. As a result, it has a significantly lower complexity than previously published methods.

1 :	Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S)
	Université de Nice Sophia Antipolis (UNS) – CNRS : UMR7271
2 :	IMEC (IMEC)
	University of Leuven

Domaine

:

Sciences de l'ingénieur/Traitement du signal et de l'image Informatique/Traitement du signal et de l'image

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Contributeur : Luc Deneire <>

Soumis le : Jeudi 15 Novembre 2007, 11:31:13

Dernière modification le : Mercredi 25 Février 2009, 16:39:50