Joint Carrier Frequency Offset and Fast Time-varying Channel Estimation for MIMO-OFDM SystemsReport as inadecuate




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1 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 2 GIPSA-CICS - CICS GIPSA-DIS - Département Images et Signal 3 GIPSA-lab - Grenoble Images Parole Signal Automatique 4 INRETS-LEOST - Laboratoire Electronique, Ondes et Signaux pour les Transports

Abstract : 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.

Keywords : Channel estimation Kalman filters Orthogonal Frequency-Division Multiplexing time-varying channels





Author: Eric Simon - Laurent Ros - Hussein Hijazi - Jin Fang - Davy Paul Gaillot - Marion Berbineau -

Source: https://hal.archives-ouvertes.fr/



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