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Article Dans Une Revue IEEE Transactions on Vehicular Technology Année : 2011

Joint Carrier Frequency Offset and Fast Time-varying Channel Estimation for MIMO-OFDM Systems

Résumé

In this paper, a novel pilot-aided algorithm is developed for MIMO-OFDM systems operating in fast time-varying environment. The algorithm has been designed to work both with parametric L-path channel model (with known path delays) and equivalent discrete-time channel model to jointly estimate the multi-path Rayleigh channel complex amplitudes (CA) and Carrier Frequency Offset (CFO). Each CA time-variation within one OFDM symbol is approximated by a Basis Expansion Model (BEM) representation. An Auto-Regressive (AR) model is built for the parameters to be estimated. The algorithm performs estimation using Extended Kalman Filtering. The channel matrix is thus easily computed and the data symbol is estimated without Inter-sub-Carrier-Interference (ICI) when the channel matrix is QR-decomposed. It is shown that our algorithm is far more robust to high speed than the conventional algorithm, and the performance approaches that of the ideal case for which the channel response and CFO are known.
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Dates et versions

hal-00591642 , version 1 (09-05-2011)

Identifiants

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Eric Pierre Simon, Laurent Ros, Hussein Hijazi, Jin Fang, Davy Gaillot, et al.. Joint Carrier Frequency Offset and Fast Time-varying Channel Estimation for MIMO-OFDM Systems. IEEE Transactions on Vehicular Technology, 2011, 60 (3), pp.955-965. ⟨10.1109/TVT.2011.2104970⟩. ⟨hal-00591642⟩
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