NDLI: Channel estimation for MIMO-OFDM systems in Fast Time-Varying Environments

Content Provider	IEEE Xplore Digital Library
Author	Hijazi, H. Simon, E.P. Lienard, M. Ros, L.
Copyright Year	2010
Description	Author affiliation: TELICE Lab., U.S.T.L. Lille 1 - IEMN/UMR 8520 Bâtiment P3 59655 Villeneuve d'Ascq - FRANCE (Hijazi, H.; Simon, E.P.; Lienard, M.) \|\| GIPSA-lab, Department Image Signal, BP 46 - 38402 Saint Martin d'Hères - FRANCE (Ros, L.)
Abstract	A channel estimation algorithm for MIMO-OFDM systems in Fast Time-Varying Environments is proposed. The channel estimation function is based on the equivalent discrete-time channel taps or on the physical propagation channel parameters. To handle rapid variations of channels within a transmission block, we approximate the channel by a basis expansion model (BEM). Based on the Jakes process, an auto-regressive (AR) model of the BEM coefficients dynamics is built, making it possible to estimate and track the BEM coefficients using Kalman filter . Hence, the channel matrix is easily computed, and the data symbol is detected with free ICI . Our claims are supported by theoretical analysis and simulation results, which are obtained considering Jakes' channels with high Doppler spreads.
Starting Page	1
Ending Page	6
File Size	3279436
Page Count	6
File Format	PDF
ISBN	9781424462858
e-ISBN	9781424462872
DOI	10.1109/ISCCSP.2010.5463392
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-03
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading OFDM Kalman filter Delay estimation Rayleigh channels time-varying Rayleigh channels MIMO systems Time varying systems channel estimation Diversity reception Channel estimation Signal processing algorithms MIMO Mathematical model
Content Type	Text
Resource Type	Article

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